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DBMS > Heroic vs. KeyDB vs. Manticore Search vs. NSDb vs. TigerGraph

System Properties Comparison Heroic vs. KeyDB vs. Manticore Search vs. NSDb vs. TigerGraph

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonKeyDB  Xexclude from comparisonManticore Search  Xexclude from comparisonNSDb  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionTime 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 protocolsMulti-storage database for search, including full-text search.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelTime Series DBMSKey-value storeSearch engineTime Series DBMSGraph DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Score0.22
Rank#312  Overall
#21  Search engines
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitegithub.com/­spotify/­heroicgithub.com/­Snapchat/­KeyDB
keydb.dev
manticoresearch.comnsdb.iowww.tigergraph.com
Technical documentationspotify.github.io/­heroicdocs.keydb.devmanual.manticoresearch.comnsdb.io/­Architecturedocs.tigergraph.com
DeveloperSpotifyEQ Alpha Technology Ltd.Manticore Software
Initial release20142019201720172017
Current release6.0, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSD-3Open Source infoGPL version 2Open Source infoApache Version 2.0commercial
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 languageJavaC++C++Java, ScalaC++
Server operating systemsLinuxFreeBSD
Linux
macOS
Windows
Linux
macOS
Linux
Data schemeschema-freeschema-freeFixed schemayes
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes: int, bigint, decimal, stringyes
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 XMLnono
Secondary indexesyes infovia Elasticsearchyes infoby using the Redis Search moduleyes infofull-text index on all search fieldsall fields are automatically indexed
SQL infoSupport of SQLnonoSQL-like query languageSQL-like query languageSQL-like query language (GSQL)
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocoBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
gRPC
HTTP REST
WebSocket
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC
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
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Java
Scala
C++
Java
Server-side scripts infoStored proceduresnoLuauser defined functionsnoyes
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Synchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency
Strong eventual consistency with CRDTs
Eventual Consistency
Foreign keys infoReferential integritynonononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoOptimistic locking, atomic execution of commands blocks and scriptsyes infoisolated transactions for atomic changes and binary logging for safe writesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes infoThe original contents of fields are not stored in the Manticore index.Using Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlsimple password-based access control and ACLnoRole-based access control

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More resources
HeroicKeyDBManticore SearchNSDbTigerGraph
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