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DBMS > Adabas vs. Heroic vs. Riak TS vs. searchxml vs. Splice Machine

System Properties Comparison Adabas vs. Heroic vs. Riak TS vs. searchxml vs. Splice Machine

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonHeroic  Xexclude from comparisonRiak TS  Xexclude from comparisonsearchxml  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVDBMS for structured and unstructured content wrapped with an application serverOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelMultivalue DBMSTime Series DBMSTime Series DBMSNative XML DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlgithub.com/­spotify/­heroicwww.searchxml.net/­category/­productssplicemachine.com
Technical documentationspotify.github.io/­heroicwww.tiot.jp/­riak-docs/­riak/­ts/­latestwww.searchxml.net/­support/­handoutssplicemachine.com/­how-it-works
DeveloperSoftware AGSpotifyOpen Source, formerly Basho Technologiesinformationpartners gmbhSplice Machine
Initial release19712014201520152014
Current release3.0.0, September 20221.03.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open SourcecommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangC++Java
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
OS X
WindowsLinux
OS X
Solaris
Windows
Data schemeyesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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
Secondary indexesyesyes infovia Elasticsearchrestrictedyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewaynoyes, limitednoyes
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
HQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP API
Native Erlang Interface
RESTful HTTP API
WebDAV
XQuery
XSLT
JDBC
Native Spark Datasource
ODBC
Supported programming languagesNaturalC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C++ infomost other programming languages supported via APIsC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresin NaturalnoErlangyes infoon the application serveryes infoJava
Triggersnonoyes infopre-commit hooks and post-commit hooksnoyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaShardingShardingnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryesselectable replication factoryes infosychronisation to multiple collectionsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infolinks between datasets can be storednoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonomultiple readers, single writerACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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.nononoyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)noDomain, group and role-based access control at the document level and for application servicesAccess rights for users, groups and roles according to SQL-standard

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More resources
Adabas infodenotes "adaptable data base"HeroicRiak TSsearchxmlSplice Machine
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