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DBMS > EDB Postgres vs. LevelDB vs. OpenMLDB vs. Spark SQL vs. Transbase

System Properties Comparison EDB Postgres vs. LevelDB vs. OpenMLDB vs. Spark SQL vs. Transbase

Editorial information provided by DB-Engines
NameEDB Postgres  Xexclude from comparisonLevelDB  Xexclude from comparisonOpenMLDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesAn open-source machine learning database that provides a feature platform for training and inferenceSpark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSKey-value storeTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#135  Overall
#63  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitewww.enterprisedb.comgithub.com/­google/­leveldbopenmldb.aispark.apache.org/­sqlwww.transaction.de/­en/­products/­transbase.html
Technical documentationwww.enterprisedb.com/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdopenmldb.ai/­docs/­zh/­mainspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperEnterpriseDBGoogle4 Paradigm Inc.Apache Software FoundationTransaction Software GmbH
Initial release20052011202020141987
Current release14, December 20211.23, February 20212024-2 February 20243.5.0 ( 2.13), September 2023Transbase 8.3, 2022
License infoCommercial or Open Sourcecommercial infoBSD for PostgreSQL-componentsOpen Source infoBSDOpen SourceOpen Source infoApache 2.0commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++C++, Java, ScalaScalaC and C++
Server operating systemsLinux
Windows
Illumos
Linux
OS X
Windows
LinuxLinux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesschema-freeFixed schemayesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.yes infospecific XML-type available, but no XML query functionality.nononono
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLyes infostandard with numerous extensionsnoyesSQL-like DML and DDL statementsyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
SQLAlchemy
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C++
Go
Java
Python
Scala
Java
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nononoyes
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoby hash, list or rangenonehorizontal partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneSource-replica replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoyes
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
EDB PostgresLevelDBOpenMLDBSpark SQLTransbase
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