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DBMS > Datomic vs. GridDB vs. Manticore Search vs. QuestDB

System Properties Comparison Datomic vs. GridDB vs. Manticore Search vs. QuestDB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGridDB  Xexclude from comparisonManticore Search  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityScalable in-memory time series database optimized for IoT and Big DataMulti-storage database for search, including full-text search.A high performance open source SQL database for time series data
Primary database modelRelational DBMSTime Series DBMSSearch engineTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
Time Series DBMS infousing the Manticore Columnar LibraryRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score1.91
Rank#123  Overall
#10  Time Series DBMS
Score0.23
Rank#301  Overall
#21  Search engines
Score2.81
Rank#98  Overall
#7  Time Series DBMS
Websitewww.datomic.comgriddb.netmanticoresearch.comquestdb.io
Technical documentationdocs.datomic.comdocs.griddb.netmanual.manticoresearch.comquestdb.io/­docs
DeveloperCognitectToshiba CorporationManticore SoftwareQuestDB Technology Inc
Initial release2012201320172014
Current release1.0.7180, July 20245.1, August 20226.0, February 2023
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoGPL version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++C++Java (Zero-GC), C++, Rust
Server operating systemsAll OS with a Java VMLinuxFreeBSD
Linux
macOS
Windows
Linux
macOS
Windows
Data schemeyesyesFixed schemayes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.nonoCan index from XMLno
Secondary indexesyesyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLnoSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query languageSQL with time-series extensions
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesClojure
Java
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresyes infoTransaction Functionsnouser defined functionsno
TriggersBy using transaction functionsyesnono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationSynchronous replication based on Galera librarySource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelyes infoisolated transactions for atomic changes and binary logging for safe writesACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesyes infothrough memory mapped files
User concepts infoAccess controlnoAccess rights for users can be defined per databaseno
More information provided by the system vendor
DatomicGridDBManticore SearchQuestDB
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