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DBMS > HEAVY.AI vs. Heroic vs. IBM Db2 Event Store vs. Microsoft Azure Synapse Analytics vs. SpatiaLite

System Properties Comparison HEAVY.AI vs. Heroic vs. IBM Db2 Event Store vs. Microsoft Azure Synapse Analytics vs. SpatiaLite

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHeroic  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchDistributed Event Store optimized for Internet of Things use casesElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerSpatial extension of SQLite
Primary database modelRelational DBMSTime Series DBMSEvent Store
Time Series DBMS
Relational DBMSSpatial DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­spotify/­heroicwww.ibm.com/­products/­db2-event-storeazure.microsoft.com/­services/­synapse-analyticswww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdocs.heavy.aispotify.github.io/­heroicwww.ibm.com/­docs/­en/­db2-event-storedocs.microsoft.com/­azure/­synapse-analyticswww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperHEAVY.AI, Inc.SpotifyIBMMicrosoftAlessandro Furieri
Initial release20162014201720162008
Current release5.10, January 20222.05.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0commercial infofree developer edition availablecommercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAJavaC and C++C++C++
Server operating systemsLinuxLinux infoLinux, macOS, Windows for the developer additionhostedserver-less
Data schemeyesschema-freeyesyesyes
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.nonononono
Secondary indexesnoyes infovia Elasticsearchnoyesyes
SQL infoSupport of SQLyesnoyes infothrough the embedded Spark runtimeyesyes
APIs and other access methodsJDBC
ODBC
Thrift
Vega
HQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C#
Java
PHP
Server-side scripts infoStored proceduresnonoyesTransact SQLno
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinShardingShardingSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesActive-active shard replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyesno

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HeroicIBM Db2 Event StoreMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSpatiaLite
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