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DBMS > GridDB vs. Heroic vs. KeyDB vs. searchxml vs. TinkerGraph

System Properties Comparison GridDB vs. Heroic vs. KeyDB vs. searchxml vs. TinkerGraph

Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonHeroic  Xexclude from comparisonKeyDB  Xexclude from comparisonsearchxml  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsDBMS for structured and unstructured content wrapped with an application serverA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelTime Series DBMSTime Series DBMSKey-value storeNative XML DBMS
Search engine
Graph DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitegriddb.netgithub.com/­spotify/­heroicgithub.com/­Snapchat/­KeyDB
keydb.dev
www.searchxml.net/­category/­productstinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.griddb.netspotify.github.io/­heroicdocs.keydb.devwww.searchxml.net/­support/­handouts
DeveloperToshiba CorporationSpotifyEQ Alpha Technology Ltd.informationpartners gmbh
Initial release20132014201920152009
Current release5.1, August 20221.0
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache 2.0Open Source infoBSD-3commercialOpen 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.
Implementation languageC++JavaC++C++Java
Server operating systemsLinuxLinuxWindows
Data schemeyesschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyes
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.nononoyesno
Secondary indexesyesyes infovia Elasticsearchyes infoby using the Redis Search moduleyesno
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)nononono
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocoRESTful HTTP API
WebDAV
XQuery
XSLT
TinkerPop 3
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C++ infomost other programming languages supported via APIsGroovy
Java
Server-side scripts infoStored proceduresnonoLuayes infoon the application serverno
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replication
Source-replica replication
yes infosychronisation to multiple collectionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersEventual Consistency
Immediate Consistency
Eventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistencynone
Foreign keys infoReferential integritynonononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelnoOptimistic locking, atomic execution of commands blocks and scriptsmultiple readers, single writerno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesnoyes
User concepts infoAccess controlAccess rights for users can be defined per databasesimple password-based access control and ACLDomain, group and role-based access control at the document level and for application servicesno
More information provided by the system vendor
GridDBHeroicKeyDBsearchxmlTinkerGraph
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
GridDBHeroicKeyDBsearchxmlTinkerGraph
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