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DBMS > Adabas vs. Drizzle vs. EventStoreDB vs. Heroic vs. Kinetica

System Properties Comparison Adabas vs. Drizzle vs. EventStoreDB vs. Heroic vs. Kinetica

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonDrizzle  Xexclude from comparisonEventStoreDB  Xexclude from comparisonHeroic  Xexclude from comparisonKinetica  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.
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Industrial-strength, open-source database solution built from the ground up for event sourcing.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchFully vectorized database across both GPUs and CPUs
Primary database modelMultivalue DBMSRelational DBMSEvent StoreTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score1.19
Rank#173  Overall
#1  Event Stores
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.eventstore.comgithub.com/­spotify/­heroicwww.kinetica.com
Technical documentationdevelopers.eventstore.comspotify.github.io/­heroicdocs.kinetica.com
DeveloperSoftware AGDrizzle project, originally started by Brian AkerEvent Store LimitedSpotifyKinetica
Initial release19712008201220142012
Current release7.2.4, September 201221.2, February 20217.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLOpen SourceOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC, C++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
FreeBSD
Linux
OS X
Linux
Windows
Linux
Data schemeyesyesschema-freeyes
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.nonono
Secondary indexesyesyesyes infovia Elasticsearchyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewayyes infowith proprietary extensionsnoSQL-like DML and DDL statements
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBCHQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesNaturalC
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresin Naturalnonouser defined functions
Triggersnono infohooks for callbacks inside the server can be used.noyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorMulti-source replication
Source-replica replication
yesSource-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 Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoGPU vRAM or System RAM
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Pluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table level

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More resources
Adabas infodenotes "adaptable data base"DrizzleEventStoreDBHeroicKinetica
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