Team

Committed to Building Optimal, Scalable and Highly Reliable Enterprise-class Open Source (100% GPL Forever) Database Infrastructure for WebScale Streaming Analytics

At ChistaDATA we are committed to building optimal, scalable, highly reliable and secured Database Infrastructure Operations on ClickHouse for both on-premises and cloud. Our globally distributed team of Engineers and DBAs/Data SREs are available 24*7 to provide enterprise-grade Consultative Support and Managed Services, So our customers worldwide can focus on their core business without worrying about the challenges of Data Ops. @ Scale

Executive Team

Executive Team

Shiv Iyer

Founder CEO

Shiv Iyer is a very long time(20 years approx.) Database Systems Engineer and Full-Stack Optimization Expert with a deep understanding of Database Systems (both transaction processing engines and columnar stores) Internals, Performance Engineering and Site Reliability Engineering(SRE). In ChistaDATA, Shiv is accountable for Platform Engineering, ColumnarStore Infrastructure Operations Research, ChistaDATA Cloud Platforms, Data SRE and Customer Success. Shiv is also a frequent speaker in Open Source Database Systems Conferences globally.

  • (415) 212-6625
  • ceo@chistadata.com
  • ChistaDATA Inc., 1321 Upland Dr. PMB 19322, Houston, TX, 77043, US
team

Anandamoy Roychowdhary

Investor and Board Member

Roy is focused on finding the best Deep Tech, AI and dev-tools startups for Surge, Sequoia’s rapid-scale up program for early-stage startups in India and ASEAN. Before joining Sequoia, Roy served as Head of Product and Engineering for ZCloud at Zynga, where he led the teams in the US and India that built Zynga cloud. Prior to that he held a series of roles at a number of product startups in Silicon Valley working on Cloud and Security. He has an Engineering degree from the Pune Institute of Computer Technology and is very interested in building disruptive technologies.

team

Alkin Tezuysal

EVP-Global Services

Alkin Tezuysal has extensive experience in open source relational databases, working in various sectors for large corporations. With over 25 years of industry experience, he has acquired skills for managing large projects from the ground up to production. For the past decade, he's been focused on e-commerce, SaaS, and MySQL technologies. Alkin has managed and architected database topologies for high-volume sites. He has several years of experience in 24X7 support and operational tasks and improving database systems for major companies. He has led global operations teams on Tier 1/2/3 support for MySQL customers. He currently holds the position of EVP - Global Services at fast-growing startup ChistaDATA Inc. He's also co-author of the upcoming MySQL Cookbook 4th Edition.

  • (844)395-5717
  • alkin@chistadata.com
  • ChistaDATA Inc., 1321 Upland Dr. PMB 19322, Houston, TX, 77043, US
team

Praseed Pai K.T.

EVP- Platform Engineering and Tools

Passed Pai is the Executive Vice President of Platform Engineering and Tools at ChistaDATA Inc. Praseed is deeply passionate about compilers, high-performance file system engineering/operations algorithms, Open Source Data Platforms and distributed systems. The core focus of Praseed in ChistaDATA includes ChistaDATA server platforms & tools development, research & engineering operations and customer success. Praseed also authored books on C++ (C++ Reactive Programming: Design Concurrent and Asynchronous Applications Using the RxCpp Library and Modern C++17) and .NET Design Patterns. Praseed is a highly sought-after speaker in various technology conferences across APAC and Southeast Asia.

  • (844)395-5717
  • praseed.pai@chistadata.com
  • ChistaDATA Inc., 1321 Upland Dr. PMB 19322, Houston, TX, 77043, US
team

☛ 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 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.

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

☛ A partial list of customers – What we did 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

🚀 Opportunities @ ChistaDATA Inc. 

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