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

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

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonKdb+  Xexclude from comparisonLeanXcale  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 highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelGraph DBMSRelational DBMSWide column storeTime Series DBMSKey-value store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#127  Overall
#10  Graph DBMS
Score0.27
Rank#274  Overall
#127  Relational DBMS
Score3.98
Rank#85  Overall
#6  Wide column stores
Score8.13
Rank#53  Overall
#2  Time Series DBMS
Score0.27
Rank#273  Overall
#41  Key-value stores
#126  Relational DBMS
Websitedgraph.iowww.esgyn.cncloud.google.com/­bigtablekx.comwww.leanxcale.com
Technical documentationdgraph.io/­docscloud.google.com/­bigtable/­docscode.kx.com
DeveloperDgraph Labs, Inc.EsgynGoogleKx Systems, a division of First Derivatives plcLeanXcale
Initial release2016201520152000 infokdb was released 2000, kdb+ in 20032015
Current release3.6, May 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercial infofree 32-bit versioncommercial
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++, Javaq
Server operating systemsLinux
OS X
Windows
LinuxhostedLinux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesyesyesnoyes infotable attribute 'grouped'
SQL infoSupport of SQLnoyesnoSQL-like query language (q)yes infothrough Apache Derby
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
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
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
C
Java
Scala
Server-side scripts infoStored proceduresnoJava Stored Proceduresnouser defined functions
Triggersnononoyes infowith views
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardinghorizontal partitioning
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 replication
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesyes
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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
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+LeanXcale
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Full ACID and full SQL operational database with analytical queries over operational...
» 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
Linear scalability upto 100s of nodes (tested with 100 nodes and TPC-C).
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Hybrid Transactional-Analytical Processing (HTAP) requiring an operational database...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
banking/finance/fintech, telco, insurance, traveltech, M2M/IoT, retail
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
15 beta testers
» more
Licensing and pricing modelsupon request
» more
annual fee covering license and support based on number of physical cores
» more

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More resources
DgraphEsgynDBGoogle Cloud BigtableKdb+LeanXcale
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