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DBMS > Dgraph vs. Dolt vs. GridGain vs. LevelDB vs. Tibero

System Properties Comparison Dgraph vs. Dolt vs. GridGain vs. LevelDB vs. Tibero

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonDolt  Xexclude from comparisonGridGain  Xexclude from comparisonLevelDB  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSA MySQL compatible DBMS with Git-like versioning of data and schemaGridGain 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 valuesA secure RDBMS, designed for easy portability from Oracle
Primary database modelGraph DBMSRelational DBMSKey-value store
Relational DBMS
Key-value storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#158  Overall
#15  Graph DBMS
Score0.95
Rank#197  Overall
#93  Relational DBMS
Score1.53
Rank#155  Overall
#26  Key-value stores
#73  Relational DBMS
Score2.75
Rank#107  Overall
#19  Key-value stores
Score1.81
Rank#143  Overall
#65  Relational DBMS
Websitedgraph.iogithub.com/­dolthub/­dolt
www.dolthub.com
www.gridgain.comgithub.com/­google/­leveldbus.tmaxsoft.com/­products/­tibero
Technical documentationdgraph.io/­docsdocs.dolthub.comwww.gridgain.com/­docs/­index.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdtechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperDgraph Labs, Inc.DoltHub IncGridGain Systems, Inc.GoogleTmaxSoft
Initial release20162018200720112003
Current releaseGridGain 8.5.11.23, February 20216, April 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0commercialOpen Source infoBSDcommercial
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 languageGoGoJava, C++, .NetC++C and Assembler
Server operating systemsLinux
OS X
Windows
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Illumos
Linux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nonoyesnoyes
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLnoyesANSI-99 for query and DML statements, subset of DDLnoyes
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
CLI Client
HTTP REST
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresnoyes infocurrently in alpha releaseyes (compute grid and cache interceptors can be used instead)noPersistent Stored Procedure (PSM)
Triggersnoyesyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesyesnoneShardingnonehorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.yes (replicated cache)noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno infoplanned for next version
User concepts infoAccess controlno infoPlanned for future releasesOnly one user is configurable, and must be specified in the config file at startupSecurity Hooks for custom implementationsnofine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
DgraphDoltGridGainLevelDBTibero
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