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DBMS > GridGain vs. Prometheus vs. Realm vs. Sqrrl vs. TDengine

System Properties Comparison GridGain vs. Prometheus vs. Realm vs. Sqrrl vs. TDengine

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonPrometheus  Xexclude from comparisonRealm  Xexclude from comparisonSqrrl  Xexclude from comparisonTDengine  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteOpen-source Time Series DBMS and monitoring systemA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataAdaptable, secure NoSQL built on Apache AccumuloTime Series DBMS and big data platform
Primary database modelKey-value store
Relational DBMS
Time Series DBMSDocument storeDocument store
Graph DBMS
Key-value store
Wide column store
Time Series DBMS
Secondary database modelsRelational DBMS
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
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitewww.gridgain.comprometheus.iorealm.iosqrrl.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationwww.gridgain.com/­docs/­index.htmlprometheus.io/­docsrealm.io/­docsdocs.tdengine.com
DeveloperGridGain Systems, Inc.Realm, acquired by MongoDB in May 2019Amazon infooriginally Sqrrl Data, Inc.TDEngine, previously Taos Data
Initial release20072015201420122019
Current releaseGridGain 8.5.13.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open SourcecommercialOpen Source infoAGPL V3, also commercial editions available
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++, .NetGoJavaC
Server operating systemsLinux
OS X
Solaris
Windows
Linux
Windows
Android
Backend: server-less
iOS
Windows
LinuxLinux
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyesyesyes
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.yesno infoImport of XML data possiblenono
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnononoStandard SQL with extensions for time-series applications
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP/JSON APIAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
JDBC
RESTful HTTP API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nono inforuns within the applications so server-side scripts are unnecessarynono
Triggersyes (cache interceptors and events)noyes infoChange Listenersnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infomaking use of HadoopSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infoby Federationnoneselectable replication factor infomaking use of Hadoopyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnoyes infoIn-Memory realm
User concepts infoAccess controlSecurity Hooks for custom implementationsnoyesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)yes
More information provided by the system vendor
GridGainPrometheusRealmSqrrlTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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