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DBMS > eXtremeDB vs. GeoSpock vs. Manticore Search vs. Postgres-XL

System Properties Comparison eXtremeDB vs. GeoSpock vs. Manticore Search vs. Postgres-XL

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonManticore Search  Xexclude from comparisonPostgres-XL  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringSpatial and temporal data processing engine for extreme data scaleMulti-storage database for search, including full-text search.Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSSearch engineRelational DBMS
Secondary database modelsTime Series DBMSTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitewww.mcobject.comgeospock.commanticoresearch.comwww.postgres-xl.org
Technical documentationwww.mcobject.com/­docs/­extremedb.htmmanual.manticoresearch.comwww.postgres-xl.org/­documentation
DeveloperMcObjectGeoSpockManticore Software
Initial release200120172014 infosince 2012, originally named StormDB
Current release8.2, 20212.0, September 20196.0, February 202310 R1, October 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2Open Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++Java, JavascriptC++C
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
hostedFreeBSD
Linux
macOS
Windows
Linux
macOS
Data schemeyesyesFixed schemayes
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.no infosupport of XML interfaces availablenoCan index from XMLyes infoXML type, but no XML query functionality
Secondary indexesyestemporal, categoricalyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyes infowith the option: eXtremeSQLANSI SQL for query only (using Presto)SQL-like query languageyes infodistributed, parallel query execution
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBCBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesnouser defined functionsuser defined functions
Triggersyes infoby defining eventsnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingAutomatic shardingSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Synchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes infoisolated transactions for atomic changes and binary logging for safe writesACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess rights for users can be defined per tablenofine grained access rights according to SQL-standard
More information provided by the system vendor
eXtremeDBGeoSpockManticore SearchPostgres-XL
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
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Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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More resources
eXtremeDBGeoSpockManticore SearchPostgres-XL
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