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DBMS > BigchainDB vs. Dgraph vs. EJDB vs. Google Cloud Bigtable vs. Kdb

System Properties Comparison BigchainDB vs. Dgraph vs. EJDB vs. Google Cloud Bigtable vs. Kdb

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonDgraph  Xexclude from comparisonEJDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonKdb  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsDistributed and scalable native Graph DBMSEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Google'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 DBMS
Primary database modelDocument storeGraph DBMSDocument storeKey-value store
Wide column store
Time Series DBMS
Vector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.31
Rank#296  Overall
#44  Document stores
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
Websitewww.bigchaindb.comdgraph.iogithub.com/­Softmotions/­ejdbcloud.google.com/­bigtablekx.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestdgraph.io/­docsgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdcloud.google.com/­bigtable/­docscode.kx.com
DeveloperDgraph Labs, Inc.SoftmotionsGoogleKx Systems, a division of First Derivatives plc
Initial release20162016201220152000 infokdb was released 2000, kdb+ in 2003
Current release3.6, May 2018
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache 2.0Open Source infoGPLv2commercialcommercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonGoCq
Server operating systemsLinuxLinux
OS X
Windows
server-lesshostedLinux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesyes infostring, integer, double, bool, date, object_idnoyes
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 indexesyesnonoyes infotable attribute 'grouped'
SQL infoSupport of SQLnonononoSQL-like query language (q)
APIs and other access methodsCLI Client
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
in-process shared librarygRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresnononouser defined functions
Triggersnononoyes infowith views
Partitioning methods infoMethods for storing different data on different nodesShardingyesnoneShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSynchronous replication via RaftnoneInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynonono infotypically not needed, however similar functionality with collection joins possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic single-row operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/Write Lockingyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlyesno infoPlanned for future releasesnoAccess 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
BigchainDBDgraphEJDBGoogle Cloud BigtableKdb
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides 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
BigchainDBDgraphEJDBGoogle Cloud BigtableKdb
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