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DBMS > Dgraph vs. EsgynDB vs. Google Cloud Bigtable vs. Kdb+ vs. XTDB

System Properties Comparison Dgraph vs. EsgynDB vs. Google Cloud Bigtable vs. Kdb+ vs. XTDB

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonKdb+  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGoogle'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 DBMSA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelGraph DBMSRelational DBMSWide column storeTime Series DBMSDocument store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.58
Rank#138  Overall
#11  Graph DBMS
Score0.24
Rank#278  Overall
#129  Relational DBMS
Score3.63
Rank#91  Overall
#8  Wide column stores
Score8.10
Rank#55  Overall
#2  Time Series DBMS
Score0.02
Rank#339  Overall
#48  Document stores
Websitedgraph.iowww.esgyn.cncloud.google.com/­bigtablekx.comgithub.com/­xtdb/­xtdb
xtdb.com
Technical documentationdgraph.io/­docscloud.google.com/­bigtable/­docscode.kx.comxtdb.com/­docs
DeveloperDgraph Labs, Inc.EsgynGoogleKx Systems, a division of First Derivatives plcJuxt Ltd.
Initial release2016201520152000 infokdb was released 2000, kdb+ in 20032019
Current release3.6, May 20181.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercial infofree 32-bit versionOpen Source infoMIT License
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++, JavaqClojure
Server operating systemsLinux
OS X
Windows
LinuxhostedLinux
OS X
Solaris
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesyes, extensible-data-notation format
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.nononoyesno
Secondary indexesyesyesnoyes infotable attribute 'grouped'yes
SQL infoSupport of SQLnoyesnoSQL-like query language (q)limited SQL, making use of Apache Calcite
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
HTTP REST
JDBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Clojure
Java
Server-side scripts infoStored proceduresnoJava Stored Proceduresnouser defined functionsno
Triggersnononoyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication between multi datacentersInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno infosimilar paradigm used for internal processingno
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 Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)rights management via user accounts
More information provided by the system vendor
DgraphEsgynDBGoogle Cloud BigtableKdb+XTDB infoformerly named Crux
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesHorizontally scalable transactional graph database with fast arbitrary-depth joins...
» more
provides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
DgraphEsgynDBGoogle Cloud BigtableKdb+XTDB infoformerly named Crux
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