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DBMS > CockroachDB vs. HEAVY.AI vs. IBM Db2 vs. Microsoft Azure Synapse Analytics vs. Teradata Aster

System Properties Comparison CockroachDB vs. HEAVY.AI vs. IBM Db2 vs. Microsoft Azure Synapse Analytics vs. Teradata Aster

Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareCommon in IBM host environments, 2 different versions for host and Windows/LinuxElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSRelational DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score128.46
Rank#8  Overall
#5  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitewww.cockroachlabs.comgithub.com/­heavyai/­heavydb
www.heavy.ai
www.ibm.com/­products/­db2azure.microsoft.com/­services/­synapse-analytics
Technical documentationwww.cockroachlabs.com/­docsdocs.heavy.aiwww.ibm.com/­docs/­en/­db2docs.microsoft.com/­azure/­synapse-analytics
DeveloperCockroach LabsHEAVY.AI, Inc.IBMMicrosoftTeradata
Initial release201520161983 infohost version20162005
Current release23.1.1, May 20235.10, January 202212.1, October 2016
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availableOpen Source infoApache Version 2; enterprise edition availablecommercial infofree version is availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++ and CUDAC and C++C++
Server operating systemsLinux
macOS
Windows
LinuxAIX
HP-UX
Linux
Solaris
Windows
z/OS
hostedLinux
Data schemedynamic schemayesyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononoyes infoin Aster File Store
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyes, wire compatible with PostgreSQLyesyesyesyes
APIs and other access methodsJDBCJDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
All languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
C#
Java
PHP
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnonoyesTransact SQLR packages
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTSharding infoRound robinSharding infoonly with Windows/Unix/Linux VersionSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTMulti-source replicationyes infowith separate tools (MQ, InfoSphere)yesyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standard

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More resources
CockroachDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IBM Db2 infoformerly named DB2 or IBM Database 2Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTeradata Aster
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