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DBMS > Heroic vs. IBM Cloudant vs. Manticore Search vs. NSDb vs. TigerGraph

System Properties Comparison Heroic vs. IBM Cloudant vs. Manticore Search vs. NSDb vs. TigerGraph

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonIBM Cloudant  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 ElasticSearchDatabase as a Service offering based on Apache CouchDBMulti-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 DBMSDocument 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
Score2.68
Rank#106  Overall
#20  Document 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/­heroicwww.ibm.com/­products/­cloudantmanticoresearch.comnsdb.iowww.tigergraph.com
Technical documentationspotify.github.io/­heroiccloud.ibm.com/­docs/­Cloudantmanual.manticoresearch.comnsdb.io/­Architecturedocs.tigergraph.com
DeveloperSpotifyIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Manticore Software
Initial release20142010201720172017
Current release6.0, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoGPL version 2Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaErlangC++Java, ScalaC++
Server operating systemshostedFreeBSD
Linux
macOS
Windows
Linux
macOS
Linux
Data schemeschema-freeschema-freeFixed schemayes
Typing infopredefined data types such as float or dateyesnoInt, 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 Elasticsearchyesyes 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
RESTful HTTP/JSON APIBinary 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#
Java
JavaScript
Objective-C
PHP
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Java
Scala
C++
Java
Server-side scripts infoStored proceduresnoView functions (Map-Reduce) in JavaScriptuser defined functionsnoyes
Triggersnoyesnono
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 methodsnoyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a document possibleyes infoisolated transactions for atomic changes and binary logging for safe writesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.nonono
User concepts infoAccess controlAccess rights for users can be defined per databasenoRole-based access control

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More resources
HeroicIBM CloudantManticore SearchNSDbTigerGraph
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