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DBMS > EXASOL vs. Fujitsu Enterprise Postgres vs. Machbase Neo vs. Manticore Search

System Properties Comparison EXASOL vs. Fujitsu Enterprise Postgres vs. Machbase Neo vs. Manticore Search

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonManticore Search  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.TimeSeries DBMS for AIoT and BigDataMulti-storage database for search, including full-text search.
Primary database modelRelational DBMSRelational DBMSTime Series DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infousing the Manticore Columnar Library
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
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Websitewww.exasol.comwww.postgresql.fastware.commachbase.commanticoresearch.com
Technical documentationwww.exasol.com/­resourceswww.postgresql.fastware.com/­product-manualsmachbase.com/­dbmsmanual.manticoresearch.com
DeveloperExasolPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyMachbaseManticore Software
Initial release200020132017
Current releaseFujitsu Enterprise Postgres 14, January 2022V8.0, August 20236.0, February 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree test version availableOpen Source infoGPL 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 languageCCC++
Server operating systemsLinux
Windows
Linux
macOS
Windows
FreeBSD
Linux
macOS
Windows
Data schemeyesyesyesFixed schema
Typing infopredefined data types such as float or dateyesyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean
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.nonoCan index from XML
Secondary indexesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesyesSQL-like query languageSQL-like query language
APIs and other access methods.Net
JDBC
ODBC
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesJava
Lua
Python
R
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnouser defined functions
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and by hashShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesnoyes infoThe original contents of fields are not stored in the Manticore index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infovolatile and lookup table
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardsimple password-based access controlno
More information provided by the system vendor
EXASOLFujitsu Enterprise PostgresMachbase Neo infoFormer name was InfinifluxManticore Search
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
EXASOLFujitsu Enterprise PostgresMachbase Neo infoFormer name was InfinifluxManticore Search
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