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DBMS > GridDB vs. Riak TS vs. TimescaleDB vs. Tkrzw vs. YugabyteDB

System Properties Comparison GridDB vs. Riak TS vs. TimescaleDB vs. Tkrzw vs. YugabyteDB

Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonRiak TS  Xexclude from comparisonTimescaleDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelTime Series DBMSTime Series DBMSTime Series DBMSKey-value storeRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
Relational DBMSDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Score2.63
Rank#109  Overall
#53  Relational DBMS
Websitegriddb.netwww.timescale.comdbmx.net/­tkrzwwww.yugabyte.com
Technical documentationdocs.griddb.netwww.tiot.jp/­riak-docs/­riak/­ts/­latestdocs.timescale.comdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperToshiba CorporationOpen Source, formerly Basho TechnologiesTimescaleMikio HirabayashiYugabyte Inc.
Initial release20132015201720202017
Current release5.1, August 20223.0.0, September 20222.15.0, May 20240.9.3, August 20202.19, September 2023
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageC++ErlangCC++C and C++
Server operating systemsLinuxLinux
OS X
Linux
OS X
Windows
Linux
macOS
Linux
OS X
Data schemeyesschema-freeyesschema-freedepending on used data model
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampnonumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesnoyes
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.nonoyesnono
Secondary indexesyesrestrictedyesyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)yes, limitedyes infofull PostgreSQL SQL syntaxnoyes, PostgreSQL compatible
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HTTP API
Native Erlang Interface
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
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
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C++
Java
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnoErlanguser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellnoyes infosql, plpgsql, C
Triggersyesyes infopre-commit hooks and post-commit hooksyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, across time and space (hash partitioning) attributesnoneHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorSource-replica replication with hot standby and reads on replicas infononeBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersEventual ConsistencyImmediate ConsistencyImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynono infolinks between datasets can be storedyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelnoACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infousing specific database classesno
User concepts infoAccess controlAccess rights for users can be defined per databasenofine grained access rights according to SQL-standardnoyes
More information provided by the system vendor
GridDBRiak TSTimescaleDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYugabyteDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
YugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
PostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Systems of record and engagement for cloud native applications that require resilience,...
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
Apache 2.0 license for the database
» more

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More resources
GridDBRiak TSTimescaleDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYugabyteDB
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