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DBMS > GridGain vs. IRONdb vs. SiteWhere vs. TigerGraph vs. Typesense

System Properties Comparison GridGain vs. IRONdb vs. SiteWhere vs. TigerGraph vs. Typesense

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonIRONdb  Xexclude from comparisonSiteWhere  Xexclude from comparisonTigerGraph  Xexclude from comparisonTypesense  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityM2M integration platform for persisting/querying time series dataA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelKey-value store
Relational DBMS
Time Series DBMSTime Series DBMSGraph DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Score0.76
Rank#219  Overall
#14  Search engines
Websitewww.gridgain.comwww.circonus.com/solutions/time-series-database/github.com/­sitewhere/­sitewherewww.tigergraph.comtypesense.org
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.circonus.com/irondb/category/getting-startedsitewhere1.sitewhere.io/­index.htmldocs.tigergraph.comtypesense.org/­docs
DeveloperGridGain Systems, Inc.Circonus LLC.SiteWhere
Initial release20072017201020172015
Current releaseGridGain 8.5.1V0.10.20, January 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoCommon Public Attribution License Version 1.0commercialOpen Source infoGPL V3
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 languageJava, C++, .NetC and C++JavaC++C++
Server operating systemsLinux
OS X
Solaris
Windows
LinuxLinux
OS X
Windows
LinuxLinux
Data schemeyesschema-freepredefined schemeyesschema-free infopre-defined schema optional
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesyesyes
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.yesnonono
Secondary indexesyesnonoyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query language (Circonus Analytics Query Language: CAQL)noSQL-like query language (GSQL)no
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP APIHTTP RESTGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
RESTful HTTP API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes, in Luayesno
Triggersyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodeSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)configurable replication factor, datacenter awareselectable replication factor infobased on HBaseMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnononoyes
User concepts infoAccess controlSecurity Hooks for custom implementationsnoUsers with fine-grained authorization conceptRole-based access control

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More resources
GridGainIRONdbSiteWhereTigerGraphTypesense
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