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DBMS > CrateDB vs. Dgraph vs. Dolt vs. Tibero

System Properties Comparison CrateDB vs. Dgraph vs. Dolt vs. Tibero

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonDgraph  Xexclude from comparisonDolt  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionDistributed Database based on LuceneDistributed and scalable native Graph DBMSA MySQL compatible DBMS with Git-like versioning of data and schemaA secure RDBMS, designed for easy portability from Oracle
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Graph DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.73
Rank#224  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score1.78
Rank#140  Overall
#64  Relational DBMS
Websitecratedb.comdgraph.iogithub.com/­dolthub/­dolt
www.dolthub.com
us.tmaxsoft.com/­products/­tibero
Technical documentationcratedb.com/­docsdgraph.io/­docsdocs.dolthub.comtechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperCrateDgraph Labs, Inc.DoltHub IncTmaxSoft
Initial release2013201620182003
Current release6, April 2015
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0commercial
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.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
Implementation languageJavaGoGoC and Assembler
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
OS X
Windows
Linux
macOS
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilitynoyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
CLI Client
HTTP REST
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languages.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
C#
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#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functions (Javascript)noyes infocurrently in alpha releasePersistent Stored Procedure (PSM)
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyesnonehorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelSynchronous 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.Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nono infoplanned for next version
User concepts infoAccess controlrights management via user accountsno infoPlanned for future releasesOnly one user is configurable, and must be specified in the config file at startupfine grained access rights according to SQL-standard (SQL 92, SQL 99)
More information provided by the system vendor
CrateDBDgraphDoltTibero
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more

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CrateDBDgraphDoltTibero
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