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DBMS > EDB Postgres vs. Elasticsearch vs. FoundationDB vs. Spark SQL vs. TDengine

System Properties Comparison EDB Postgres vs. Elasticsearch vs. FoundationDB vs. Spark SQL vs. TDengine

Editorial information provided by DB-Engines
NameEDB Postgres  Xexclude from comparisonElasticsearch  Xexclude from comparisonFoundationDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTDengine  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
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.A distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricOrdered key-value store. Core features are complimented by layers.Spark SQL is a component on top of 'Spark Core' for structured data processingTime Series DBMS and big data platform
Primary database modelRelational DBMSSearch engineDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
Vector DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#130  Overall
#60  Relational DBMS
Score132.83
Rank#7  Overall
#1  Search engines
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitewww.enterprisedb.comwww.elastic.co/­elasticsearchgithub.com/­apple/­foundationdbspark.apache.org/­sqlgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationwww.enterprisedb.com/­docswww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlapple.github.io/­foundationdbspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.tdengine.com
DeveloperEnterpriseDBElasticFoundationDBApache Software FoundationTDEngine, previously Taos Data
Initial release20052010201320142019
Current release14, December 20218.6, January 20236.2.28, November 20203.5.0 ( 2.13), September 20233.0, August 2022
License infoCommercial or Open Sourcecommercial infoBSD for PostgreSQL-componentsOpen Source infoElastic LicenseOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC++ScalaC
Server operating systemsLinux
Windows
All OS with a Java VMLinux
OS X
Windows
Linux
OS X
Windows
Linux
Windows
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free infosome layers support schemasyesyes
Typing infopredefined data types such as float or dateyesyesno infosome layers support typingyesyes
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.nonono
Secondary indexesyesyes infoAll search fields are automatically indexednonono
SQL infoSupport of SQLyes infostandard with numerous extensionsSQL-like query languagesupported in specific SQL layer onlySQL-like DML and DDL statementsStandard SQL with extensions for time-series applications
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP/JSON API
JDBC
ODBC
JDBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Java
Python
R
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesin SQL-layer onlynono
Triggersyesyes infoby using the 'percolation' featurenonoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoby hash, list or rangeShardingShardingyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allLinearizable consistency
Foreign keys infoReferential integrityyesnoin SQL-layer onlynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
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.noMemcached and Redis integrationno
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoyes
More information provided by the system vendor
EDB PostgresElasticsearchFoundationDBSpark SQLTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
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