DB-EnginesextremeDB - Data management wherever you need itEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > GBase vs. GeoSpock vs. Riak TS vs. Speedb

System Properties Comparison GBase vs. GeoSpock vs. Riak TS vs. Speedb

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonGeoSpock  Xexclude from comparisonRiak TS  Xexclude from comparisonSpeedb  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Spatial and temporal data processing engine for extreme data scaleRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDB
Primary database modelRelational DBMSRelational DBMSTime Series DBMSKey-value store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.11
Rank#173  Overall
#78  Relational DBMS
Score0.17
Rank#318  Overall
#27  Time Series DBMS
Score0.20
Rank#310  Overall
#44  Key-value stores
Websitewww.gbase.cngeospock.comwww.speedb.io
Technical documentationwww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperGeneral Data Technology Co., Ltd.GeoSpockOpen Source, formerly Basho TechnologiesSpeedb
Initial release200420152020
Current releaseGBase 8a, GBase 8s, GBase 8c2.0, September 20193.0.0, September 2022
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoApache Version 2.0; commercial license available
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, Java, PythonJava, JavascriptErlangC++
Server operating systemsLinuxhostedLinux
OS X
Linux
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
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.yesnonono
Secondary indexesyestemporal, categoricalrestrictedno
SQL infoSupport of SQLStandard with numerous extensionsANSI SQL for query only (using Presto)yes, limitedno
APIs and other access methodsADO.NET
C API
JDBC
ODBC
JDBCHTTP API
Native Erlang Interface
Supported programming languagesC#C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsnoErlangno
Triggersyesnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningAutomatic shardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono infolinks between datasets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyes
User concepts infoAccess controlyesAccess rights for users can be defined per tablenono

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
GBaseGeoSpockRiak TSSpeedb
Recent citations in the news

How GeoSpock is supercharging geospatial analytics
23 February 2021, ComputerWeekly.com

nChain leads investment round in extreme-scale data firm GeoSpock
2 October 2020, CoinGeek

Smart Cities, Autonomous Vehicles, Artificial General Intelligence Robotics: Q&A with Steve Marsh, GeoSpock
16 May 2018, ExchangeWire

GeoSpock’s extreme-scale data mission in $5.4m funding boost
8 October 2020, Cambridge Independent

CEO Richard Baker explores GeoSpock’s role in posting indexed data onto digital ledger
20 October 2020, CoinGeek

provided by Google News

Is Riak A Good NoSQL Database Option For Enterprises?
1 July 2019, AIM

Best open source databases for IoT applications
26 May 2017, Open Source For You

provided by Google News

Redis acquires storage engine startup Speedb to enhance its open-source database
21 March 2024, SiliconANGLE News

Redis switches licenses, acquires Speedb to go beyond its core in-memory database
21 March 2024, TechCrunch

Redis expands data management capabilities with Speedb acquisition
22 March 2024, Blocks & Files

Redis Acquires Speedb to Supercharge End-to-End Application Performance at Lower Cost
21 March 2024, GlobeNewswire

Redis Acquires Speedb, Expanding Its Data Platform Capabilities Beyond DRAM
22 March 2024, Datanami

provided by Google News



Share this page

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Present your product here