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DBMS > Datomic vs. Drizzle vs. Heroic vs. OpenEdge vs. ToroDB

System Properties Comparison Datomic vs. Drizzle vs. Heroic vs. OpenEdge vs. ToroDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDrizzle  Xexclude from comparisonHeroic  Xexclude from comparisonOpenEdge  Xexclude from comparisonToroDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchApplication development environment with integrated database management systemA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Websitewww.datomic.comgithub.com/­spotify/­heroicwww.progress.com/­openedgegithub.com/­torodb/­server
Technical documentationdocs.datomic.comspotify.github.io/­heroicdocumentation.progress.com/­output/­ua/­OpenEdge_latest
DeveloperCognitectDrizzle project, originally started by Brian AkerSpotifyProgress Software Corporation8Kdata
Initial release20122008201419842016
Current release1.0.7075, December 20237.2.4, September 2012OpenEdge 12.2, March 2020
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoGNU GPLOpen Source infoApache 2.0commercialOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++JavaJava
Server operating systemsAll OS with a Java VMFreeBSD
Linux
OS X
AIX
HP-UX
Linux
Solaris
Windows
All OS with a Java 7 VM
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infostring, integer, double, boolean, date, object_id
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.nonoyesno
Secondary indexesyesyesyes infovia Elasticsearchyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsnoyes infoclose to SQL 92
APIs and other access methodsRESTful HTTP APIJDBCHQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
Supported programming languagesClojure
Java
C
C++
Java
PHP
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresyes infoTransaction Functionsnonoyes
TriggersBy using transaction functionsno infohooks for callbacks inside the server can be used.noyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingShardinghorizontal partitioning infosince Version 11.4Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
yesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnono
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers and groupsAccess rights for users and roles

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More resources
DatomicDrizzleHeroicOpenEdgeToroDB
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