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DBMS > H2 vs. HEAVY.AI vs. Teradata Aster vs. Tigris

System Properties Comparison H2 vs. HEAVY.AI vs. Teradata Aster vs. Tigris

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Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTigris  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwarePlatform for big data analytics on multistructured data sources and typesA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Key-value store
Search engine
Time Series DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Websitewww.h2database.comgithub.com/­heavyai/­heavydb
www.heavy.ai
www.tigrisdata.com
Technical documentationwww.h2database.com/­html/­main.htmldocs.heavy.aiwww.tigrisdata.com/­docs
DeveloperThomas MuellerHEAVY.AI, Inc.TeradataTigris Data, Inc.
Initial release2005201620052022
Current release2.2.220, July 20235.10, January 2022
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2; enterprise edition availablecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ and CUDA
Server operating systemsAll OS with a Java VMLinuxLinuxLinux
macOS
Windows
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyes infoin Aster File Storeno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesyesyesno
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
ODBC
OLE DB
CLI Client
gRPC
RESTful HTTP API
Supported programming languagesJavaAll languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Java
Python
R
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined FunctionsnoR packagesno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robinShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseMulti-source replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
H2HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Teradata AsterTigris
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HEAVY.AI: The Fastest Analytics and Location Intelligence Platform
1 March 2022, heavy.ai

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13 July 2023, Spiceworks News and Insights

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