ClickHouse Consulting from ChistaDATA Inc.

Building high performance Database Analytics Application on ClickHouse involves specialized skills like deep understanding of internals, architecture & engineering of ClickHouse schema models, optimal SQL semantics, cost efficient indexing patterns, capacity planning / sizing and horizontally distributed database architecture for web-scale. Hiring a seasoned elite-class ClickHouse consultant is expensive, time-consuming and exhaustive, At ChistaDATA we have expert ClickHouse consultants working from multiple cities (SanFrancisco, Seattle, Vancouver, Toronto, London, Russia, Germany, Australia, Singapore and India) globally to deliver 24*7 ClickHouse professional services. We are usually available on a short notice for both onsite (across U.S., London, Germany, France, Spain, Belgium, Russia, Australia, Singapore and India ) and remote consulting.

☛ How ChistaDATA can help you in building an 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 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 platform 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 we recommend ClickHouse over many other columnar database systems?

• Compact data storage – Ten billions UInt8-type values should exactly consume 10GB uncompressed to efficiently use available CPU . Optimal storage even when uncompressed benefit 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 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 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 support partial aggregation – ClickHouse is 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 Consulting Plans (we do both on-site and remote ClickHouse consulting) from ChistaDATA

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 consulting options available:

☛ ChistaDATA Inc. Bank Account Details  – Silicon Valley Bank

For the customers based out of the U.S. 

Instruct the paying financial institution or the payor to route all domestic wire transfers via FEDWIRE to the following ABA number:

For the international customers (non-U.S. based customers )