Enterprise-class 24*7 Consultative Support and Managed Services for ClickHouse by ChistaDATA Data Platform Engineers 

We are a full-stack ClickHouse infrastructure operations Consultative Support(24*7) and Managed Services provider with core expertize in performance, scalability and data SRE. Based in California, Our consulting and support engineering team operates out of San Francisco, Vancouver, London, Germany, Russia, Ukraine, Australia, Singapore and India to deliver 24*7 enterprise-class consultative support and managed services. We operate very closely with some of the most prominent and planet-scale internet properties like PayPal, Garmin, Honda cars IoT project, Viacom, National Geographic, Nike, Morgan Stanley, American Express Travel, VISA, Netflix, PRADA, Blue Dart, Carlsberg, Sony, Unilever etc. You can download ChistaDATA corporate profile here

We have also built the world’s first-ever fully autonomous DBaaS(Database as a Service) for Real-Time Analytics on ClickHouse for a serverless computing ecosystem. You can download the ChistaDATA Cloud flyer here

To learn how ChistaDATA successfully built Real-Time Analytics and Machine Learning Infrastructure for planet-scale Database Infrastructure, Please download ChistaDATA Full-Stack Database Infrastructure Engineering and Operations Flyer for AI/ML/Real-Time Analytics here

☛ What is ClickHouse?

ClickHouse is an open-source columnar database management system from ClickHouse Corporation built for web-scale, real-time streaming data analytics using SQL queries. ClickHouse can deliver optimal, horizontally scalable, fault-tolerant and highly available data analytics solutions for planet-scale internet / mobile properties and the Internet of Things (IoT). Modern hardware-efficient ClickHouse columnar storage format allows fitting more hot data in RAM, which leads to shorter response times. ChistaDATA provides ClickHouse Consulting and Support (24*7) to deliver optimal, scalable and highly available web-scale data analytics platforms.

☛ Quick facts on ClickHouse

• Open Source ColumnStore project from ClickHouse Corporation.
• Built for Massively Parallel Processing Systems, Large/complex queries can be run in parallel with minimal or no effort, The modern hardware infrastructure ready!
• Data compression – ClickHouse supports data compression and this improves query performance.
• Horizontally scalable columnar database system – ClickHouse is built for web-scale data analytics, Data can be replicated across several ClickHouse Shards. ClickHouse has distributed database analytics-ready columnar database system.
• In ClickHouse, data is not just stored by columns but is also processed by vectors to achieve high CPU performance.
• Web-Scale data analytics-ready – Primary keys are allowed, The data extraction for specific clients through Metrica counter over a specific time range makes low latency query analytics possible.
• Flexible aggregation – Aggregate functions for partial data with approximated calculation (minimal data retrieval option). Random keys aggregation instead of all keys for higher accuracy using minimal resources.
• Maximum availability and self-healing – Asynchronous multi-master replication with auto-failover capabilities.
• SQL-based – ClickHouse supports SQL, JOINS, subqueries including FROM, IN, JOIN clauses; and scalar subqueries are allowed. Correlated subqueries are not allowed.

Unleashing Real-Time Insights: Why CIOs worldwide choose ClickHouse for Advanced Analytics?

1. Lightning-Fast Performance: ClickHouse is specifically designed for real-time analytics, offering exceptional query processing speed and low latency, allowing CIOs to extract insights from vast volumes of data in milliseconds.
2. Scalability at Web-Scale: ClickHouse’s distributed architecture enables seamless horizontal scalability, allowing organizations to handle massive data growth without compromising performance. CIOs can easily scale their infrastructure to meet the demands of web-scale analytics.
3. Cost-Effective Solution: ClickHouse is an open-source database, eliminating the need for expensive licensing fees. Its efficient storage and compression algorithms optimize resource utilization, making it a cost-effective choice for CIOs looking to maximize their analytics investment.
4. Versatile Data Ingestion: ClickHouse supports various data ingestion methods, including real-time streaming, batch processing, and data replication. CIOs can integrate diverse data sources seamlessly, enabling comprehensive analytics across the organization.
5. Advanced Analytics Capabilities: ClickHouse provides a rich set of analytical functions and supports complex queries, including aggregation, filtering, and join operations. CIOs can perform advanced analytics, such as cohort analysis, time series analysis, and predictive modeling, to gain valuable insights.
6. Real-Time Data Processing: ClickHouse’s ability to process data in real-time enables CIOs to analyze and react to changing business conditions instantly. Organizations can monitor key metrics, detect anomalies, and make data-driven decisions in real-time.
7. High Availability and Fault Tolerance: ClickHouse offers built-in mechanisms for high availability and fault tolerance, ensuring continuous data availability despite hardware failures or network disruptions. CIOs can rely on ClickHouse for mission-critical analytics.
8. Seamless Integration with Existing Infrastructure: ClickHouse integrates smoothly with existing data ecosystems, allowing CIOs to leverage their current investments. It supports various data formats, connectors, and APIs, simplifying integration.
9. Security and Data Privacy: ClickHouse provides robust security features, including authentication, role-based access control, and data encryption. CIOs can ensure the confidentiality and integrity of their sensitive data, complying with regulatory requirements.
10. Vibrant Community and Support: ClickHouse has a thriving open-source community, offering extensive documentation, forums, and resources. CIOs can access support and collaborate with like-minded professionals to maximize the value of ClickHouse for their organizations.

☛ ColumnStore and Row-Based Database Managed System – Why it’s better to use ColumnStores for SORT/SEARCH intensive Analytics Operations

☛ Why is ClickHouse recommended for a time-series Database?

ClickHouse is a column-oriented, distributed relational database management system that is designed for OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing) workloads. It is particularly well-suited for time-series data analysis because of its ability to handle large amounts of data, high write and read performance, and support for advanced analytical functions. Here are some of the reasons why ClickHouse is recommended for time-series data:

• Column-oriented storage: ClickHouse uses a column-oriented storage model, which means that data is stored by columns rather than by rows. This allows for efficient compression and faster data retrieval, especially for time-series data, where the data is often read in time-based chunks.
• Advanced analytical functions: ClickHouse supports advanced analytical functions such as window functions, aggregate functions, and SQL-based data filtering, which are useful for time-series data analysis. This allows users to perform complex queries on large data sets quickly and efficiently.
• Real-time query performance: ClickHouse is designed to handle high write and read performance, making it suitable for real-time data analysis. It can handle millions of writes per second and return results in milliseconds, even on large datasets.
• Scalability: ClickHouse is a distributed system, which means that it can scale horizontally by adding more servers. This allows it to handle very large data sets and handle high write and read loads.
• Compression: ClickHouse supports advanced compression techniques, which can significantly reduce the size of the data stored on disk, making it more cost-efficient for storing large data sets.
• High Availability: ClickHouse supports high availability through replication. It allows data to be replicated across multiple servers, which can help to ensure that data is always available even in the event of a server failure

☛ Why do we recommend ClickHouse over many other columnar database systems?

• Compact data storage – Ten billion UInt8-type values should exactly consume 10GB uncompressed to efficiently use the available CPU. Optimal storage even when uncompressed benefits performance and resource management. ClickHouse is built is store data efficiently without any garbage.
• CPU efficient – Whenever possible, ClickHouse operations are dispatched on arrays, rather than on individual values. This is called “vectorized query execution,” and it helps lower the cost of actual data processing.
• Data compression – ClickHouse supports two kinds of compression LZ4 and ZSTD. LZ4 is faster than ZSTD but the compression ratio is smaller.ZSTD is faster and compresses better than traditional Zlib but slower than LZ4.  We recommend customers LZ4 when I/O is fast enough so decompression speed will become a bottleneck. When using super ultra-fast disk subsystems you have an option to specify “none” compression. ZSTD is recommended when I/O is the bottleneck in queries with large range scans.
• Can store data in disk – The columnar database systems like SAP HANA and Google PowerDrill can only work in the RAM.
• Massively Parallel Processing – ClickHouse is capable of Massively Parallel Processing very large/complex SQL(s) optimally and cost-efficiently
• Built for web-scale data analytics – ClickHouse supports sharding and distributed processing, This makes ClickHouse the most preferred columnar database system for web-scale. Each shard in ClickHouse can be a group of replicas addressing maximum reliability and fault tolerance.
• ClickHouse support Primary Key – ClickHouse permits real-time data updates with a primary key (there will be no locking when adding data). Data is sorted incrementally using the merge tree to perform queries on the range of primary key values.
• Built for statistical analysis and supporting partial aggregation – ClickHouse is a statistical query analysis-ready columnar database store supporting aggregate functions for approximated calculation of the number of various values, medians, and quantiles. ClickHouse supports aggregation for a limited number of random keys, instead of for all the keys. You can query on a part (sample) of data and generate approximate results reducing disk I/O operations considerably.
• Supports SQL – ClickHouse supports SQL, Subqueries are supported in FROM, IN, and JOIN clauses, as well as scalar subqueries. Dependent subqueries are not supported.
• Supports data replication – ClickHouse supports asynchronous multi-master and master-slave replication.

☛ Transforming Banking Analytics: ChistaDATA’s Real-Time Partnerships and Top 10 Reasons to Choose Us

ChistaDATA’s Impact on Banking Analytics:

• Expertise at the Helm: ChistaDATA boasts unparalleled expertise in ClickHouse, equipping banks with optimal solutions tailored to their unique challenges.
• Customization Excellence: With an acute understanding of banking intricacies, ChistaDATA crafts tailored solutions that align with banks’ distinct analytical needs.
• Real-Time Insights: ChistaDATA empowers banks with real-time insights into transactions, customer behaviours, and market trends, fostering agile decision-making.
• Uncompromised Security: The banking sector’s stringent security demands are met with ChistaDATA’s robust security protocols, ensuring data remains safeguarded.
• Scalability Mastery: ChistaDATA’s knack for scalability ensures banks can handle escalating data volumes without sacrificing performance.
• Fraud Detection Prowess: ChistaDATA’s real-time analytics bolster banks’ fraud detection capabilities, enabling swift intervention against threats.
• Operational Efficiency: ChistaDATA’s solutions optimize banking operations, streamlining processes and enhancing resource allocation.
• Cost-Effective Strategies: ClickHouse’s open-source nature and ChistaDATA’s prowess ensure banks enjoy cost-effective solutions that deliver premium results.
• Responsive Dashboards: ChistaDATA crafts real-time dashboards that empower banks with actionable insights vital for dynamic market responsiveness.
• Data Compliance: ChistaDATA ensures banking solutions adhere to regulatory standards, providing peace of mind and regulatory compliance.

Why Choose ChistaDATA? Top 10 Reasons:

1. Industry Leadership: ChistaDATA’s proven track record in the banking sector makes it a prime choice for real-time analytics collaborations.
2. Custom-Tailored Solutions: ChistaDATA understands banking intricacies, creating solutions that precisely cater to financial institutions’ needs.
3. Rapid Insights: ChistaDATA’s solutions provide banks with insights that are not only accurate but are delivered in real-time, a game-changer in dynamic markets.
4. Security Par Excellence: Banks benefit from ChistaDATA’s stringent security measures, safeguarding sensitive financial data from breaches.
5. Scalability Assurance: ChistaDATA’s solutions are designed to accommodate ever-increasing data volumes without compromising performance.
6. Fraud Prevention: ChistaDATA’s real-time analytics bolster banks’ fraud detection strategies, ensuring financial safety for customers.
7. Operational Optimization: ChistaDATA streamlines banking operations, optimizing resource utilization and enhancing efficiency.
8. Cost-Efficiency: ChistaDATA’s solutions maximize returns on investment while minimizing expenses, a key concern for banks.
9. Agile Decision-Making: With real-time insights, banks gain the agility to navigate volatile financial landscapes effectively.
10. Regulatory Compliance: ChistaDATA ensures that banking solutions adhere to regulatory standards, easing compliance burdens.

To learn more about how ChistaDATA helps modern Financial Service Providers and Banks in building Real-Time Analytics on ClickHouse, please download the flyer detailing ChistaDATA Infrastructure for ClickHouse here

☛ ClickHouse comparison with Teradata

☛ ClickHouse comparison with Hadoop

☛ ClickHouse comparison with Oracle

☛ ClickHouse comparison with PostgreSQL

☛ Building advanced Data Science, Machine Learning and AI with ChistaDATA Real-Time Analytics Infrastructure

Real-time analytics significantly influences the field of Data Science and AI by enabling faster and more actionable insights from data. Here are a few ways real-time analytics is impacting Data Science and AI:

1. Timely Decision-Making: Real-time analytics allows organizations to make decisions and take actions based on up-to-date information. Data scientists and AI algorithms can analyze data as it arrives in real-time, providing immediate insights that can drive business decisions, optimize processes, and respond quickly to emerging trends or events.
2. Dynamic Model Training: Real-time analytics enables data scientists to continuously update and refine their models using fresh data. Instead of relying on static, batch processing approaches, real-time data streams can be fed into machine learning algorithms, allowing models to adapt and learn in real-time. This improves the accuracy and relevance of AI predictions and recommendations.
3. Rapid Detection of Anomalies and Fraud: Real-time analytics helps detect anomalies and fraud in real-time data streams. Machine learning algorithms can continuously monitor data patterns, identify deviations, and trigger alerts or take automated actions to mitigate risks. This is particularly valuable in industries such as finance, cybersecurity, and e-commerce, where quick detection and response to anomalies are critical.
4. Personalization and Customer Experience: Real-time analytics enables personalized experiences and recommendations for users in real-time. By analyzing user behavior, preferences, and contextual data in real-time, AI algorithms can deliver tailored content, product recommendations, and personalized marketing messages. This enhances customer satisfaction and engagement.
5. Predictive Maintenance and IoT: Real-time analytics is vital in predictive maintenance for IoT devices and systems. By monitoring real-time sensor data and applying AI algorithms, organizations can predict equipment failures, detect anomalies, and proactively schedule maintenance. This helps optimize maintenance schedules, reduce downtime, and improve operational efficiency.
6. Streaming Data Analysis: Real-time analytics allows organizations to process and analyze massive data streams in motion, such as social media feeds, sensor data, and transaction logs. Data scientists can leverage streaming data processing frameworks and AI algorithms to extract insights and derive valuable information in real time, enabling immediate actions and responses.
7. Fraud Detection and Cybersecurity: Real-time analytics is instrumental in identifying and preventing fraudulent activities and enhancing cybersecurity. By continuously monitoring data streams, AI algorithms can quickly detect suspicious patterns, unauthorized access attempts, and potential security breaches. The real-time analysis enables immediate responses, such as blocking suspicious transactions or triggering security alerts, ensuring the protection of sensitive data and systems.
8. Operational Efficiency and Resource Optimization: Real-time analytics helps optimize operational processes and resource allocation. By analyzing real-time data from various sources, organizations can identify bottlenecks, streamline workflows, and allocate resources more efficiently. Data-driven insights enable proactive decision-making, such as adjusting production schedules, optimizing supply chain logistics, or managing workforce allocation, improving efficiency and cost savings.
9. Risk Management and Compliance: Real-time analytics is crucial for effective risk management and regulatory compliance. Organizations can continuously monitor data and apply AI algorithms to identify and assess potential risks in real-time, enabling proactive risk mitigation strategies. Real-time analytics also helps ensure compliance with industry regulations and standards by monitoring data for any anomalies or violations and taking immediate corrective actions.
10. Real-time Data Visualization and Dashboards: Real-time analytics enables the creation of dynamic, interactive visualizations and dashboards that provide real-time insights to stakeholders. Data scientists and AI practitioners can leverage visualization tools and techniques to present complex data in a digestible format, allowing users to monitor key metrics, track performance, and make informed decisions on the fly.

☛ Why do successful companies work with ChistaDATA for ClickHouse Consultative Support and Managed Services?

• ChistaDATA provides full-stack ClickHouse Optimization. We deliver elite-class Consultative Support (24*7) and Managed Services for both on-premises ClickHouse infrastructure and Serverless/Cloud/ClickHouse DBaaS operations.
• ChistaDATA Server for ClickHouse (and all tools essential for Data Ops. @ Scale) will be Open Source (100% GPL forever) and free. We are committed to helping corporations in building Open Source ColumnStore for high-performance Data Analytics.
• Global Team available 24*7 for ClickHouse Consultative Support and Managed Services.
• Our team has built and managed Data Ops. Infrastructure of some of the largest internet properties. We know very well the best practices for building optimal, scalable, highly reliable and secured Database Infrastructure @ scale.
• Lean Team Culture: Startup-friendly and specialists in DevOps. and Automation for Database Systems Maintenance Operations.
• Transparent pricing and no hidden charges – We have both fixed-priced and flexible subscription plans.
• Based out of San Francisco Bay Area. But, we have global teams operating from 11 cities worldwide to deliver 24*7 Consultative Support and Managed Services for ClickHouse.

☛ Building high-Performance MySQL, MariaDB, MyRocks and PostgreSQL Transaction Processing Systems with ChistaDATA Real-Time Data Archiving Toolkit

In today’s data-driven world, organizations often face challenges related to the performance and scalability of their traditional relational databases like PostgreSQL, MySQL, and MariaDB. To overcome these limitations and unlock the full potential of their data, many businesses are turning to ClickHouse, a high-performance columnar database. One practical approach is to archive historical data from PostgreSQL, MySQL, and MariaDB to ClickHouse. This allows organizations to retain their valuable data for long-term storage and analysis while benefiting from the superior performance and scalability of ClickHouse. Let’s explore the benefits and the process of archiving data to ClickHouse.

Benefits of Archiving Data to ClickHouse:

1. Improved Performance: ClickHouse’s columnar storage format and optimized query execution engine provide significant performance improvements for analytical workloads. By archiving historical data to ClickHouse, organizations can offload the data from their traditional databases, reducing the query load and enhancing performance for active transactional systems.
2. Cost-Effective Storage: ClickHouse’s efficient compression algorithms and storage optimizations enable organizations to store large volumes of data cost-effectively. By moving historical data to ClickHouse, organizations can reduce the storage costs associated with their primary databases while retaining easy access to the archived data for analysis and reporting.
3. Scalability and Capacity: ClickHouse’s distributed architecture and horizontal scalability allow organizations to handle massive amounts of data with ease. Archiving data to ClickHouse ensures that the database infrastructure can scale seamlessly as data volumes grow, providing organizations with the flexibility to accommodate future data growth.
4. Simplified Data Management: By centralizing historical data in ClickHouse, organizations can simplify their data management processes. ClickHouse’s powerful data ingestion capabilities, data replication features, and SQL-based querying enable efficient data handling and analysis without the complexities often associated with traditional databases.

Process of Archiving Data to ClickHouse:

1. Data Selection: Identify the data in PostgreSQL, MySQL, or MariaDB that needs to be archived. This typically includes historical or less frequently accessed data that is no longer actively used in transactional operations.
2. Data Extraction: Extract the selected data from the source database. This can be done using various methods, such as SQL queries or ETL processes, depending on the database technology and the specific data extraction requirements.
3. Data Transformation and Formatting: Convert the extracted data into a format suitable for ClickHouse. This may involve transforming the data schema, adjusting data types, and ensuring compatibility with ClickHouse’s columnar storage format.
4. Data Loading into ClickHouse: Utilize ClickHouse’s native data ingestion mechanisms, such as the ClickHouse SQL interface, ClickHouse client libraries, or external data integration tools, to load the archived data into ClickHouse tables. ClickHouse’s high-speed data loading capabilities ensure efficient and fast data ingestion.
5. Indexing and Query Optimization: Create appropriate indexes on the archived data in ClickHouse to optimize query performance. Analyze the query patterns and design indexes that align with the specific analytical requirements of the archived data.
6. Data Retention and Archiving Strategy: Define a data retention policy and archiving strategy based on the organization’s specific needs. This includes determining the duration of data retention in ClickHouse and establishing periodic archiving processes to ensure efficient archived data management.
7. Data Access and Analytics: Leverage ClickHouse’s powerful SQL capabilities, analytical functions, and data manipulation tools to perform advanced analytics on archived data. ClickHouse’s real-time query processing capabilities enable organizations to gain valuable insights from historical data for decision-making and business intelligence purposes.

☛ ClickHouse Consulting Plans (we do both on-site and remote ClickHouse consulting) from ChistaDATA Inc.

We are available on short notice if you are building a web-scale columnar database systems analytics and your business demands on-site ClickHouse consultants. We work very closely with your team on-site,, guiding them strategically and technically on building optimal, scalable and highly available ClickHouse database infrastructure operations.

We can do almost everything remote on ClickHouse, This includes performance, scalability and high availability. Our technical account manager will be working very closely with your team to understand the goals and build short/long-term deliverables managing ChistaDATA ClickHouse Consultants.

If you are a startup, We have flexible ClickHouse Managed Services options available:

☛ ClickHouse Enterprise Support (24*7)

You get access to our seasoned ClickHouse support team 24*7 for an fraction of cost to hiring a full-time Sr. level ClickHouse consultant . We will help you in building an planet-scale data analytics platform using ClickHouse which is optimal, scalable and highly available.

• Enterprise-Class ClickHouse Support
  • Technical Account Manager to clearly understand your business goals and orchestrate our support operations.
  • 30 Minute Response Time on Severity 1 (Urgent) Issues.
  • 10 Named Customer Contacts.
  • Support channels – Phone, Email, Slack, Skype, Google Hangouts and Phone.
  • Technical support — 30 minute response time (S1)
    • Support -levels – We have very well defined support infrastructure operations function:
      • Severity 1– Immediate attention needed, The customer’s business is severely impacted and database infrastructure is unavailable.
        • Response time (SLA) – 30 minutes.
      • Severity 2– Customer database infrastructure is available (up and running) but performance / scalability issues are directly impacting business.
        • Response time (SLA) – 4 hours. 
      • Severity 3– Low impact situation, Customer business and production infrastructure is functioning normally, but the problem is impacting the development ecosystems, also causing delay in production deployment.
        • Response time (SLA) – 12 hours.
      • Severity 4– Low to no impact situation, It is more about knowing the features and capability of components before considering the adoption.
        • Response time (SLA) – 48 hours. 

• ClickHouse DBA Consultative Support
  • Recommendations for database architecture and design.
  • Recommendations for optimal SQL engineering.
  • Recommendations for ClickHouse Performance optimization and tuning.
  • Recommendation for index design, optimization and usage.
  • Recommendations for ClickHouse backup and disaster recovery.
  • Recommendations for ClickHouse high availability and auto failover.
  • Recommendations for ClickHouse data archiving and partitioning.
  • Recommendations for ClickHouse maintenance operations.

☛ How ChistaDATA can help you in building web-scale real-time streaming data analytics using ClickHouse?

• Consulting – We are experts in building optimal, scalable (horizontally and vertically), highly available and fault-tolerant ClickHouse powered streaming data analytics platforms for planet-scale internet / mobile properties and the Internet of Things (IoT). Our elite-class consultants work very closely with your business and technology teams to build custom columnar database analytics solutions using ClickHouse.
• Database Architect services – We architect, engineer and deploy data analytics platforms for you. We will take care of your data analytics ecosystem so that you can focus on business.
• ClickHouse Enterprise Support – We have 24*7 enterprise-class support available for ClickHouse, Our support team will review and deliver guidance for your data analytics platforms architecture, SQL engineering, performance optimization, scalability, high availability and reliability.
• ClickHouse Training.
• Pay only for hours we have worked for you; This makes us affordable for startups and large corporations equally.

☛ Discounts 

Discounts are applicable only for multi-year contracts / long-term engagements, We don’t hire low-quality and cheap rookie consultants to manage your mission-critical Database Systems Infrastructure Operations and so our consultants are expensive. Being a virtual corporation (no offices anywhere in the world), whatever you pay goes directly to our consultant’s fee. It’s impossible for us to offer you low-cost consulting, support and Remote DBA services with the elite-class team, Thanks for understanding and doing business with ChistaDATA.  

☛ A partial list of customers – What did we do for them?

• Applied Materials – ClickHouse Consultative Support
• Orange Communications – ClickHouse Consultative Support
• Garmin – ClickHouse Consulting and Enterprise-Class Support
• ClassPlus – ClickHouse Enterprise-Class Support
• Morgan Stanley – ClickHouse Enterprise-Class Support
• Blue Dart – ClickHouse Consulting / Professional Services and Enterprise-Class Consultative Support
• Carlsberg – ClickHouse Enterprise-Class Support
• PRADA – ClickHouse Consulting and Managed Database Services
• Netflix – ClickHouse Enterprise-Class Support
• MPL – ClickHouse Enterprise-Class Support
• Burberry – ClickHouse Enterprise-Class Support
• Edward Jones – ClickHouse Consulting and Enterprise-Class Support
• Cambridge Investment Research – ClickHouse Consulting and Enterprise-Class Support
• National Geographic – ClickHouse Consulting and Enterprise-Class Support
• American Express Travel – ClickHouse Consulting and Enterprise-Class Support
• Sony – ClickHouse Consultative Support and Managed Services
• Nintendo – ClickHouse Consultative Support and Managed Services
• Unilever – ClickHouse Consultative Support
• VISA – ClickHouse Consultative Support and Database Architect Services for Big Data Analytics

In the spirit of freedom, independence and innovation. ChistaDATA Corporation is not affiliated with ClickHouse Corporation.