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DBMS > Badger vs. GridGain vs. RavenDB vs. SWC-DB vs. TDengine

System Properties Comparison Badger vs. GridGain vs. RavenDB vs. SWC-DB vs. TDengine

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGridGain  Xexclude from comparisonRavenDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.GridGain is an in-memory computing platform, built on Apache IgniteOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA high performance, scalable Wide Column DBMSTime Series DBMS and big data platform
Primary database modelKey-value storeKey-value store
Relational DBMS
Document storeWide column storeTime Series DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score0.01
Rank#376  Overall
#13  Wide column stores
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerwww.gridgain.comravendb.netgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
github.com/­taosdata/­TDengine
tdengine.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.gridgain.com/­docs/­index.htmlravendb.net/­docsdocs.tdengine.com
DeveloperDGraph LabsGridGain Systems, Inc.Hibernating RhinosAlex KashirinTDEngine, previously Taos Data
Initial release20172007201020202019
Current releaseGridGain 8.5.15.4, July 20220.5, April 20213.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoAGPL version 3, commercial license availableOpen Source infoGPL V3Open 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 languageGoJava, C++, .NetC#C++C
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
LinuxLinux
Windows
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesnoyes
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.noyesnono
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLSQL-like query language (RQL)SQL-like query languageStandard SQL with extensions for time-series applications
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Proprietary protocol
Thrift
JDBC
RESTful HTTP API
Supported programming languagesGoC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yesnono
Triggersnoyes (cache interceptors and events)yesnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes (replicated cache)Multi-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID, Cluster-wide transaction available
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.noyesno
User concepts infoAccess controlnoSecurity Hooks for custom implementationsAuthorization levels configured per client per databaseyes
More information provided by the system vendor
BadgerGridGainRavenDBSWC-DB infoSuper Wide Column DatabaseTDengine
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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More resources
BadgerGridGainRavenDBSWC-DB infoSuper Wide Column DatabaseTDengine
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