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DBMS > Dgraph vs. eXtremeDB vs. Google Cloud Bigtable vs. Kdb vs. TypeDB

System Properties Comparison Dgraph vs. eXtremeDB vs. Google Cloud Bigtable vs. Kdb vs. TypeDB

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisoneXtremeDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonKdb  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSNatively in-memory DBMS with options for persistency, high-availability and clusteringGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.High performance Time Series DBMSTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelGraph DBMSRelational DBMS
Time Series DBMS
Key-value store
Wide column store
Time Series DBMS
Vector DBMS
Graph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.70
Rank#230  Overall
#20  Graph DBMS
#106  Relational DBMS
Websitedgraph.iowww.mcobject.comcloud.google.com/­bigtablekx.comtypedb.com
Technical documentationdgraph.io/­docswww.mcobject.com/­docs/­extremedb.htmcloud.google.com/­bigtable/­docscode.kx.comtypedb.com/­docs
DeveloperDgraph Labs, Inc.McObjectGoogleKx Systems, a division of First Derivatives plcVaticle
Initial release2016200120152000 infokdb was released 2000, kdb+ in 20032016
Current release8.2, 20213.6, May 20182.26.3, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercial infofree 32-bit versionOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++qJava
Server operating systemsLinux
OS X
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
hostedLinux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nono infosupport of XML interfaces availablenoyesno
Secondary indexesyesyesnoyes infotable attribute 'grouped'yes
SQL infoSupport of SQLnoyes infowith the option: eXtremeSQLnoSQL-like query language (q)no
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Java
Lua
Python
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoyesnouser defined functionsno
Triggersnoyes infoby defining eventsnoyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesyeshorizontal partitioning / shardingShardinghorizontal partitioningSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Internal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno infosimilar paradigm used for internal processingyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
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.yesnoyesno
User concepts infoAccess controlno infoPlanned for future releasesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)rights management via user accountsyes infoat REST API level; other APIs in progress
More information provided by the system vendor
DgrapheXtremeDBGoogle Cloud BigtableKdbTypeDB infoformerly named Grakn
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Integrated columnar database & programming system for streaming, real time and historical...
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TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
provides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
TypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
tick database streaming sensor data massive intelligence applications oil and gas...
» more
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Goldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
kdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more
upon request
» more
Apache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
DgrapheXtremeDBGoogle Cloud BigtableKdbTypeDB infoformerly named Grakn
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