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DBMS > GeoSpock vs. Oracle vs. Percona Server for MongoDB vs. QuestDB vs. TerarkDB

System Properties Comparison GeoSpock vs. Oracle vs. Percona Server for MongoDB vs. QuestDB vs. TerarkDB

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonOracle  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonQuestDB  Xexclude from comparisonTerarkDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleWidely used RDBMSA drop-in replacement for MongoDB Community Edition with enterprise-grade features.A high performance open source SQL database for time series dataA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSRelational DBMSDocument storeTime Series DBMSKey-value store
Secondary database modelsTime Series DBMSDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1236.29
Rank#1  Overall
#1  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitegeospock.comwww.oracle.com/­databasewww.percona.com/­mongodb/­software/­percona-server-for-mongodbquestdb.iogithub.com/­bytedance/­terarkdb
Technical documentationdocs.oracle.com/­en/­databasedocs.percona.com/­percona-distribution-for-mongodbquestdb.io/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperGeoSpockOraclePerconaQuestDB Technology IncByteDance, originally Terark
Initial release1980201520142016
Current release2.0, September 201923c, September 20233.4.10-2.10, November 2017
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infoGPL Version 2Open Source infoApache 2.0commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptC and C++C++Java (Zero-GC), C++, RustC++
Server operating systemshostedAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
LinuxLinux
macOS
Windows
Data schemeyesyes infoSchemaless in JSON and XML columnsschema-freeyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.noyesnonono
Secondary indexestemporal, categoricalyesyesnono
SQL infoSupport of SQLANSI SQL for query only (using Presto)yes infowith proprietary extensionsnoSQL with time-series extensionsno
APIs and other access methodsJDBCJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
proprietary protocol using JSONHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
C++ API
Java API
Supported programming languagesC
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C++
Java
Server-side scripts infoStored proceduresnoPL/SQL infoalso stored procedures in Java possibleJavaScriptnono
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding, horizontal partitioningShardinghorizontal partitioning (by timestamps)none
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationSource-replica replication with eventual consistencynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan be realized in PL/SQLyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoisolation level can be parameterizednoACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'yes infovia In-Memory Engineyes infothrough memory mapped filesyes
User concepts infoAccess controlAccess rights for users can be defined per tablefine grained access rights according to SQL-standardAccess rights for users and rolesno
More information provided by the system vendor
GeoSpockOraclePercona Server for MongoDBQuestDBTerarkDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
GeoSpockOraclePercona Server for MongoDBQuestDBTerarkDB
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