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DBMS > Adabas vs. Alibaba Cloud AnalyticDB for MySQL vs. Ehcache vs. Kyligence Enterprise vs. Splice Machine

System Properties Comparison Adabas vs. Alibaba Cloud AnalyticDB for MySQL vs. Ehcache vs. Kyligence Enterprise vs. Splice Machine

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonAlibaba Cloud AnalyticDB for MySQL  Xexclude from comparisonEhcache  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformA real-time data warehousing service that can process petabytes of data with high concurrency and low latency. It is fully compatible with the MySQL protocol.A widely adopted Java cache with tiered storage optionsA distributed analytics engine for big data, built on top of Apache KylinOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelMultivalue DBMSRelational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score0.91
Rank#201  Overall
#94  Relational DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.alibabacloud.com/­product/­analyticdb-for-mysqlwww.ehcache.orgkyligence.io/­kyligence-enterprisesplicemachine.com
Technical documentationwww.alibabacloud.com/­help/­doc-detail/­93776.htmwww.ehcache.org/­documentationsplicemachine.com/­how-it-works
DeveloperSoftware AGAlibabaTerracotta Inc, owned by Software AGKyligence, Inc.Splice Machine
Initial release1971200920162014
Current release3.10.0, March 20223.1, March 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
hostedAll OS with a Java VMLinuxLinux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyesyes
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.noyesnono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewayyesnoANSI SQL for queries (using Apache Calcite)yes
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBC
ODBC
JCacheJDBC
ODBC
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
Supported programming languagesNaturalC#
Java
PHP
Python
JavaC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresin Naturalyesnoyes infoJava
Triggersnoyesyes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaSharding infoImplicit feature of the cloud serviceSharding infoby using Terracotta ServerShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryes infoImplicit feature of the cloud serviceyes infoby using Terracotta ServerMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes infosupports JTA and can work as an XA resourceACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesnoyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)fine grained access rights according to SQL-standardnoAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Adabas infodenotes "adaptable data base"Alibaba Cloud AnalyticDB for MySQLEhcacheKyligence EnterpriseSplice Machine
Specific characteristicsA real-time data warehousing service that can process PB data with high concurrency...
» more
Competitive advantagesTPC Benchmark: The world leading result in TPC-DS benchmark . TPC-H benchmark for...
» more
Licensing and pricing modelsAvailable regions: America US Virginia US Silicon Valley Asia China Hong Kong India...
» more

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Adabas infodenotes "adaptable data base"Alibaba Cloud AnalyticDB for MySQLEhcacheKyligence EnterpriseSplice Machine
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