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DBMS > Adabas vs. Databricks vs. Greenplum vs. GreptimeDB vs. Realm

System Properties Comparison Adabas vs. Databricks vs. Greenplum vs. GreptimeDB vs. Realm

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonDatabricks  Xexclude from comparisonGreenplum  Xexclude from comparisonGreptimeDB  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.An open source Time Series DBMS built for increased scalability, high performance and efficiencyA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelMultivalue DBMSDocument store
Relational DBMS
Relational DBMSTime Series DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.databricks.comgreenplum.orggreptime.comrealm.io
Technical documentationdocs.databricks.comdocs.greenplum.orgdocs.greptime.comrealm.io/­docs
DeveloperSoftware AGDatabricksPivotal Software Inc.Greptime Inc.Realm, acquired by MongoDB in May 2019
Initial release19712013200520222014
Current release7.0.0, September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source
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 languageRust
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
hostedLinuxAndroid
Docker
FreeBSD
Linux
macOS
Windows
Android
Backend: server-less
iOS
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesschema-free, schema definition possibleyes
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.noyesyes infosince Version 4.2nono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewaywith Databricks SQLyesyesno
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
RESTful HTTP API
JDBC
ODBC
gRPC
HTTP API
JDBC
Supported programming languagesNaturalPython
R
Scala
C
Java
Perl
Python
R
C++
Erlang
Go
Java
JavaScript
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresin Naturaluser defined functions and aggregatesyesPythonno inforuns within the applications so server-side scripts are unnecessary
Triggersnoyesyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatoryesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 infoIn-Memory realm
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)fine grained access rights according to SQL-standardSimple rights management via user accountsyes
More information provided by the system vendor
Adabas infodenotes "adaptable data base"DatabricksGreenplumGreptimeDBRealm
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
GreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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Adabas infodenotes "adaptable data base"DatabricksGreenplumGreptimeDBRealm
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