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DBMS > GeoSpock vs. HBase vs. Microsoft Azure AI Search vs. QuestDB vs. STSdb

System Properties Comparison GeoSpock vs. HBase vs. Microsoft Azure AI Search vs. QuestDB vs. STSdb

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonHBase  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonQuestDB  Xexclude from comparisonSTSdb  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 scaleWide-column store based on Apache Hadoop and on concepts of BigTableSearch-as-a-service for web and mobile app developmentA high performance open source SQL database for time series dataKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSWide column storeSearch engineTime Series DBMSKey-value store
Secondary database modelsTime Series DBMSVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score5.59
Rank#63  Overall
#7  Search engines
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitegeospock.comhbase.apache.orgazure.microsoft.com/­en-us/­services/­searchquestdb.iogithub.com/­STSSoft/­STSdb4
Technical documentationhbase.apache.org/­book.htmllearn.microsoft.com/­en-us/­azure/­searchquestdb.io/­docs
DeveloperGeoSpockApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoftQuestDB Technology IncSTS Soft SC
Initial release2008201520142011
Current release2.0, September 20192.3.4, January 2021V14.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialOpen Source infoApache 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJavaJava (Zero-GC), C++, RustC#
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
hostedLinux
macOS
Windows
Windows
Data schemeyesschema-free, schema definition possibleyesyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesyesyes infoprimitive types and user defined types (classes)
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.nononono
Secondary indexestemporal, categoricalnoyesnono
SQL infoSupport of SQLANSI SQL for query only (using Presto)nonoSQL with time-series extensionsno
APIs and other access methodsJDBCJava API
RESTful HTTP API
Thrift
RESTful HTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
.NET Client API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C#
Java
JavaScript
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C#
Java
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javanonono
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning (by timestamps)none
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoImplicit feature of the cloud serviceSource-replica replication with eventual consistencynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)noACID 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.noyesnoyes infothrough memory mapped files
User concepts infoAccess controlAccess rights for users can be defined per tableAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACyes infousing Azure authenticationno
More information provided by the system vendor
GeoSpockHBaseMicrosoft Azure AI SearchQuestDBSTSdb
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
GeoSpockHBaseMicrosoft Azure AI SearchQuestDBSTSdb
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