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DBMS > BoltDB vs. Citus vs. etcd vs. IBM Db2 Event Store vs. Machbase Neo

System Properties Comparison BoltDB vs. Citus vs. etcd vs. IBM Db2 Event Store vs. Machbase Neo

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonCitus  Xexclude from comparisonetcd  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Scalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA distributed reliable key-value storeDistributed Event Store optimized for Internet of Things use casesTimeSeries DBMS for AIoT and BigData
Primary database modelKey-value storeRelational DBMSKey-value storeEvent Store
Time Series DBMS
Time Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#215  Overall
#31  Key-value stores
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score7.03
Rank#54  Overall
#5  Key-value stores
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.17
Rank#337  Overall
#30  Time Series DBMS
Websitegithub.com/­boltdb/­boltwww.citusdata.cometcd.io
github.com/­etcd-io/­etcd
www.ibm.com/­products/­db2-event-storemachbase.com
Technical documentationdocs.citusdata.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.ibm.com/­docs/­en/­db2-event-storemachbase.com/­dbms
DeveloperIBMMachbase
Initial release2013201020172013
Current release8.1, December 20183.4, August 20192.0V8.0, August 2023
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoAGPL, commercial license also availableOpen Source infoApache Version 2.0commercial infofree developer edition availablecommercial infofree test version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoCGoC and C++C
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxFreeBSD
Linux
Windows infoexperimental
Linux infoLinux, macOS, Windows for the developer additionLinux
macOS
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesnoyesyes
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.noyes infospecific XML type available, but no XML query functionalitynonono
Secondary indexesnoyesnonoyes
SQL infoSupport of SQLnoyes infostandard, with numerous extensionsnoyes infothrough the embedded Spark runtimeSQL-like query language
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
JSON over HTTP
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
Supported programming languagesGo.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.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
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyesno
Triggersnoyesyes, watching key changesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication infoother methods possible by using 3rd party extensionsUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Active-active shard replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyesyes infovolatile and lookup table
User concepts infoAccess controlnofine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardsimple password-based access control

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More resources
BoltDBCitusetcdIBM Db2 Event StoreMachbase Neo infoFormer name was Infiniflux
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