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DBMS > Adabas vs. Apache Druid vs. Splice Machine vs. TDengine

System Properties Comparison Adabas vs. Apache Druid vs. Splice Machine vs. TDengine

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonApache Druid  Xexclude from comparisonSplice Machine  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkTime Series DBMS and big data platform
Primary database modelMultivalue DBMSRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.61
Rank#78  Overall
#1  Multivalue DBMS
Score3.57
Rank#92  Overall
#48  Relational DBMS
#6  Time Series DBMS
Score0.87
Rank#185  Overall
#89  Relational DBMS
Score0.65
Rank#213  Overall
#16  Time Series DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmldruid.apache.orgsplicemachine.comgithub.com/­taosdata/­TDengine
www.taosdata.com
Technical documentationdruid.apache.org/­docs/­latest/­designdoc.splicemachine.comwww.taosdata.com/­en/­documentation
DeveloperSoftware AGApache Software Foundation and contributorsSplice MachineTaos Data
Initial release1971201220142019
Current release0.21.0, April 20213.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infoAGPL 3.0, commercial license availableOpen Source infoGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
OS X
Unix
Linux
OS X
Solaris
Windows
Linux
Data schemeyesyes infoschema-less columns are supportedyesyes
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 indexesyesyesyesno
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL for queryingyesSQL-like query language
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBC
RESTful HTTP/JSON API
JDBC
Native Spark Datasource
ODBC
JDBC
RESTful HTTP API
Supported programming languagesNaturalClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
.Net
C
C++
Go
Java
JavaScript (Node.js)
Lua
Python
Rust
Server-side scripts infoStored proceduresin Naturalnoyes infoJavano
Triggersnonoyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaSharding infomanual/auto, time-basedShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryes, via HDFS, S3 or other storage enginesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)RBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and roles according to SQL-standardyes
More information provided by the system vendor
Adabas infodenotes "adaptable data base"Apache DruidSplice MachineTDengine
Specific characteristicsOne of the modules of TDengine is the time-series database. However, in addition...
» more
Competitive advantagesPerformance improvement over 10 times: An innovative data storage structure is defined,...
» more
Typical application scenariosIT Infrastructure, Servers and Applications Monitoring Internet of Cars, Trucks,...
» more
Market metricsFastest growing database With more than 15,500 stars on GitHub
» more
Licensing and pricing modelsOpen Source (AGPL v3) Enterprise / Cloud (https://www.taosdata.com/en/support/)
» more
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Adabas infodenotes "adaptable data base"Apache DruidSplice MachineTDengine
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