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DBMS > GridGain vs. Oracle Berkeley DB vs. Sadas Engine vs. TDengine

System Properties Comparison GridGain vs. Oracle Berkeley DB vs. Sadas Engine vs. TDengine

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSadas Engine  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteWidely used in-process key-value storeSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsTime Series DBMS and big data platform
Primary database modelKey-value store
Relational DBMS
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitewww.gridgain.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.sadasengine.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.tdengine.com
DeveloperGridGain Systems, Inc.Oracle infooriginally developed by Sleepycat, which was acquired by OracleSADAS s.r.l.TDEngine, previously Taos Data
Initial release2007199420062019
Current releaseGridGain 8.5.118.1.40, May 20208.03.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infocommercial license availablecommercial infofree trial version availableOpen Source infoGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC, Java, C++ (depending on the Berkeley DB edition)C++C
Server operating systemsLinux
OS X
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
AIX
Linux
Windows
Linux
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.yesyes infoonly with the Berkeley DB XML editionnono
Secondary indexesyesyesyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyes infoSQL interfaced based on SQLite is availableyesStandard SQL with extensions for time-series applications
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Proprietary protocol
JDBC
RESTful HTTP API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
.Net
C
C#
C++
Groovy
Java
PHP
Python
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)nonono
Triggersyes (cache interceptors and events)yes infoonly for the SQL APInoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlSecurity Hooks for custom implementationsnoAccess rights for users, groups and roles according to SQL-standardyes
More information provided by the system vendor
GridGainOracle Berkeley DBSadas EngineTDengine
Specific characteristicsTDengineā„¢ 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
GridGainOracle Berkeley DBSadas EngineTDengine
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