DBMS > EXASOL vs. Google BigQuery vs. HEAVY.AI
System Properties Comparison EXASOL vs. Google BigQuery vs. HEAVY.AI
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|Editorial information provided by DB-Engines|
|Name||EXASOL Xexclude from comparison||Google BigQuery Xexclude from comparison||HEAVY.AI Formerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022 Xexclude from comparison|
|Description||High-performance, in-memory, MPP database specifically designed for in-memory analytics.||Large scale data warehouse service with append-only tables||A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware|
|Primary database model||Relational DBMS||Relational DBMS||Relational DBMS|
|Secondary database models||Spatial DBMS|
|Current release||5.10, January 2022|
|License Commercial or Open Source||commercial||commercial||Open Source Apache Version 2; enterprise edition available|
|Cloud-based only Only available as a cloud service||no||yes||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Implementation language||C++ and CUDA|
|Server operating systems||hosted||Linux|
|Typing predefined data types such as float or date||yes||yes||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||no||no|
|SQL Support of SQL||yes||yes||yes|
|APIs and other access methods||.Net|
|RESTful HTTP/JSON API||JDBC|
|Supported programming languages||Java|
|All languages supporting JDBC/ODBC/Thrift|
|Partitioning methods Methods for storing different data on different nodes||Sharding||none||Sharding Round robin|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes Hadoop integration||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||yes||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||no Since BigQuery is designed for querying data||no|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||no||yes|
|User concepts Access control||Access rights for users, groups and roles according to SQL-standard||Access privileges (owner, writer, reader) on dataset, table or view level Google Cloud Identity & Access Management (IAM)||fine grained access rights according to SQL-standard|
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|3rd parties||CData: Connect to Big Data & NoSQL through standard Drivers.|
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|EXASOL||Google BigQuery||HEAVY.AI Formerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022|
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