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

We are a full-stack ClickHouse infrastructure operations Consulting, Support and Managed Services provider with core expertise in performance, scalability and data SRE. Based out of 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 largest 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 Inc. corporate flyer here

If you are keen on understanding full-stack Database Infrastructure Optimization from ChistaDATA, Please download our Open Source Database Infrastructure Operations offerings/subscriptions factsheet 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 is capable of delivering 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.

☛ 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.

In summary, ClickHouse’s column-oriented storage, advanced analytical functions, real-time query performance, scalability, compression and high availability features make it a suitable choice for time-series data analysis and data warehousing.

☛ 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.

☛ ClickHouse comparison with Teradata

☛ ClickHouse comparison with Hadoop

☛ 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.

☛ Why do successful companies work with ChistDATA 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 System with ChistaDATA Real-Time Data Archiving Toolkit 

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

If you are building a web-scale columnar database systems analytics and your business demands on-site ClickHouse consultants, We are available on short notice. We work very closely with your team on-site guiding them both 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) by ChistaDATA Inc.

You get access to our seasoned ClickHouse support team 24*7 for a fraction of the cost to hiring a full-time Sr. level ClickHouse consultant. We will help you in building a 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 a very well defined support infrastructure operations function:
      • Severity 1– Immediate attention is 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) – 12 hours. 
      • Severity 3– Low impact situation, Customer business and production infrastructure is functioning normally, but the problem is impacting the development ecosystems, also causing a delay in production deployment.
        • Response time (SLA) – 24 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. 

• DBA 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.

☛ Rates, We expect prompt payment from customers to deliver elite-class consulting and support services

• The default payment term for every invoice from ChistaDATA is on or before 30 days, although other terms can be arranged for in our contract. You will pay invoices promptly, or we may choose to not do further business with you. Yes, we do that, as happy and healthy business relationships are important to us.
• ChistaDATA Flexible Consulting plans, Remote DBA packages and Enterprise-Class 24*7 support subscriptions are payable in advance, so we can make sure we have the resources available to assist you. In return for this commitment, you pay a lower hourly rate.

☛ 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