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DBMS > GridDB vs. H2 vs. QuestDB vs. Riak KV

System Properties Comparison GridDB vs. H2 vs. QuestDB vs. Riak KV

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonH2  Xexclude from comparisonQuestDB  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A high performance open source SQL database for time series dataDistributed, fault tolerant key-value store
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsKey-value store
Relational DBMS
Spatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#123  Overall
#10  Time Series DBMS
Score7.57
Rank#47  Overall
#30  Relational DBMS
Score2.81
Rank#98  Overall
#7  Time Series DBMS
Score3.84
Rank#76  Overall
#9  Key-value stores
Websitegriddb.netwww.h2database.comquestdb.io
Technical documentationdocs.griddb.netwww.h2database.com/­html/­main.htmlquestdb.io/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperToshiba CorporationThomas MuellerQuestDB Technology IncOpenSource, formerly Basho Technologies
Initial release2013200520142009
Current release5.1, August 20222.2.220, July 20233.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache 2.0Open Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJava (Zero-GC), C++, RustErlang
Server operating systemsLinuxAll OS with a Java VMLinux
macOS
Windows
Linux
OS X
Data schemeyesyesyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesyesno
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 indexesyesyesnorestricted
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)yesSQL with time-series extensionsno
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
HTTP API
Native Erlang Interface
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
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
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined FunctionsnoErlang
Triggersyesyesnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning (by timestamps)Sharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationWith clustering: 2 database servers on different computers operate on identical copies of a databaseSource-replica replication with eventual consistencyselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACIDACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.yesyesyes infothrough memory mapped files
User concepts infoAccess controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standardyes, using Riak Security
More information provided by the system vendor
GridDBH2QuestDBRiak KV
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More resources
GridDBH2QuestDBRiak KV
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