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DBMS > Citus vs. etcd vs. HarperDB vs. TinkerGraph

System Properties Comparison Citus vs. etcd vs. HarperDB vs. TinkerGraph

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonetcd  Xexclude from comparisonHarperDB  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA distributed reliable key-value storeUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelRelational DBMSKey-value storeDocument storeGraph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.55
Rank#248  Overall
#38  Document stores
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitewww.citusdata.cometcd.io
github.com/­etcd-io/­etcd
www.harperdb.iotinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.citusdata.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.harperdb.io/­docs
DeveloperHarperDB
Initial release201020172009
Current release8.1, December 20183.4, August 20193.1, August 2021
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache Version 2.0commercial infofree community edition availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGoNode.jsJava
Server operating systemsLinuxFreeBSD
Linux
Windows infoexperimental
Linux
OS X
Data schemeyesschema-freedynamic schemaschema-free
Typing infopredefined data types such as float or dateyesnoyes infoJSON data typesyes
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.yes infospecific XML type available, but no XML query functionalitynonono
Secondary indexesyesnoyesno
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoSQL-like data manipulation statementsno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
JSON over HTTP
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
TinkerPop 3
Supported programming languages.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
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Groovy
Java
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noCustom Functions infosince release 3.1no
Triggersyesyes, watching key changesnono
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusternone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes infothe nodes on which a table resides can be definednone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
Durability infoSupport for making data persistentyesyesyes, using LMDBoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users and rolesno

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More resources
CitusetcdHarperDBTinkerGraph
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