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DBMS > EXASOL vs. Fujitsu Enterprise Postgres vs. InfluxDB vs. Solr

System Properties Comparison EXASOL vs. Fujitsu Enterprise Postgres vs. InfluxDB vs. Solr

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonInfluxDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.DBMS for storing time series, events and metricsA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSRelational DBMSTime Series DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS infowith GEO packageSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitewww.exasol.comwww.postgresql.fastware.comwww.influxdata.com/­products/­influxdb-overviewsolr.apache.org
Technical documentationwww.exasol.com/­resourceswww.postgresql.fastware.com/­product-manualsdocs.influxdata.com/­influxdbsolr.apache.org/­resources.html
DeveloperExasolPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyApache Software Foundation
Initial release200020132006
Current releaseFujitsu Enterprise Postgres 14, January 20222.7.6, April 20249.6.0, April 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGoJava
Server operating systemsLinux
Windows
Linux
OS X infothrough Homebrew
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesNumeric data and Stringsyes infosupports customizable data types and automatic typing
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.nonoyes
Secondary indexesyesyesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesyesSQL-like query languageSolr Parallel SQL Interface
APIs and other access methods.Net
JDBC
ODBC
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
JSON over UDP
Java API
RESTful HTTP/JSON API
Supported programming languagesJava
Lua
Python
R
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnoJava plugins
Triggersyesyesnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and by hashSharding infoin enterprise version onlySharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infoin enterprise version onlyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.yesyes infoDepending on used storage engineyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardsimple rights management via user accountsyes
More information provided by the system vendor
EXASOLFujitsu Enterprise PostgresInfluxDBSolr
Specific characteristics100% compatible with community PostgreSQL
» more
InfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Time to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
IoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Fastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsCore based licensing
» more
Open source core with closed source clustering available either on-premise or on...
» more
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