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DBMS > GridGain vs. LevelDB vs. ObjectBox vs. Teradata vs. Vitess

System Properties Comparison GridGain vs. LevelDB vs. ObjectBox vs. Teradata vs. Vitess

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonLevelDB  Xexclude from comparisonObjectBox  Xexclude from comparisonTeradata  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesExtremely fast embedded database for small devices, IoT and MobileA hybrid cloud data analytics software platform (Teradata Vantage)Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelKey-value store
Relational DBMS
Key-value storeObject oriented DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
Document store
Spatial 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
Score2.35
Rank#111  Overall
#19  Key-value stores
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitewww.gridgain.comgithub.com/­google/­leveldbobjectbox.iowww.teradata.comvitess.io
Technical documentationwww.gridgain.com/­docs/­index.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.objectbox.iodocs.teradata.comvitess.io/­docs
DeveloperGridGain Systems, Inc.GoogleObjectBox LimitedTeradataThe Linux Foundation, PlanetScale
Initial release20072011201719842013
Current releaseGridGain 8.5.11.23, February 2021Teradata Vantage 1.0 MU2, January 201915.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Source infoApache License 2.0commercialOpen Source infoApache Version 2.0, commercial licenses 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++, .NetC++C and C++Go
Server operating systemsLinux
OS X
Solaris
Windows
Illumos
Linux
OS X
Windows
Android
iOS
Linux
macOS
Windows
hosted
Linux
Docker
Linux
macOS
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.yesnonoyes
Secondary indexesyesnoyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnonoyes infoSQL 2016 + extensionsyes infowith proprietary extensions
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Proprietary native API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nonoyes infoUDFs, stored procedures, table functions in parallelyes infoproprietary syntax
Triggersyes (cache interceptors and events)nonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding infoHashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)noneonline/offline synchronization between client and serverMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyesyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsnoyesfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
GridGainLevelDBObjectBoxTeradataVitess
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