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DBMS > BigchainDB vs. etcd vs. IBM Db2 Event Store vs. Kdb vs. SpaceTime

System Properties Comparison BigchainDB vs. etcd vs. IBM Db2 Event Store vs. Kdb vs. SpaceTime

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonetcd  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonKdb  Xexclude from comparisonSpaceTime  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA distributed reliable key-value storeDistributed Event Store optimized for Internet of Things use casesHigh performance Time Series DBMSSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelDocument storeKey-value storeEvent Store
Time Series DBMS
Time Series DBMS
Vector DBMS
Spatial DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score7.03
Rank#54  Overall
#5  Key-value stores
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Websitewww.bigchaindb.cometcd.io
github.com/­etcd-io/­etcd
www.ibm.com/­products/­db2-event-storekx.comwww.mireo.com/­spacetime
Technical documentationbigchaindb.readthedocs.io/­en/­latestetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.ibm.com/­docs/­en/­db2-event-storecode.kx.com
DeveloperIBMKx Systems, a division of First Derivatives plcMireo
Initial release201620172000 infokdb was released 2000, kdb+ in 20032020
Current release3.4, August 20192.03.6, May 2018
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache Version 2.0commercial infofree developer edition availablecommercial infofree 32-bit versioncommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonGoC and C++qC++
Server operating systemsLinuxFreeBSD
Linux
Windows infoexperimental
Linux infoLinux, macOS, Windows for the developer additionLinux
OS X
Solaris
Windows
Linux
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or datenonoyesyesyes
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 indexesnonoyes infotable attribute 'grouped'no
SQL infoSupport of SQLnonoyes infothrough the embedded Spark runtimeSQL-like query language (q)A subset of ANSI SQL is implemented
APIs and other access methodsCLI Client
RESTful HTTP API
gRPC
JSON over HTTP
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
RESTful HTTP API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C#
C++
Python
Server-side scripts infoStored proceduresnoyesuser defined functionsno
Triggersyes, watching key changesnoyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Active-active shard replicationSource-replica replicationReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlyesnofine grained access rights according to SQL-standardrights management via user accountsyes
More information provided by the system vendor
BigchainDBetcdIBM Db2 Event StoreKdbSpaceTime
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
BigchainDBetcdIBM Db2 Event StoreKdbSpaceTime
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