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DBMS > etcd vs. Graph Engine vs. HEAVY.AI vs. Stardog

System Properties Comparison etcd vs. Graph Engine vs. HEAVY.AI vs. Stardog

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionA distributed reliable key-value storeA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelKey-value storeGraph DBMS
Key-value store
Relational DBMSGraph DBMS
RDF store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.05
Rank#53  Overall
#5  Key-value stores
Score0.56
Rank#241  Overall
#21  Graph DBMS
#34  Key-value stores
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score1.93
Rank#121  Overall
#10  Graph DBMS
#6  RDF stores
Websiteetcd.io
github.com/­etcd-io/­etcd
www.graphengine.iogithub.com/­heavyai/­heavydb
www.heavy.ai
www.stardog.com
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.graphengine.io/­docs/­manualdocs.heavy.aidocs.stardog.com
DeveloperMicrosoftHEAVY.AI, Inc.Stardog-Union
Initial release201020162010
Current release3.4, August 20195.10, January 20227.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT LicenseOpen Source infoApache Version 2; enterprise edition availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
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 languageGo.NET and CC++ and CUDAJava
Server operating systemsFreeBSD
Linux
Windows infoexperimental
.NETLinuxLinux
macOS
Windows
Data schemeschema-freeyesyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or datenoyesyesyes
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.nononono infoImport/export of XML data possible
Secondary indexesnonoyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnonoyesYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsgRPC
JSON over HTTP
RESTful HTTP APIJDBC
ODBC
Thrift
Vega
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C#
C++
F#
Visual Basic
All languages supporting JDBC/ODBC/Thrift
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnoyesnouser defined functions and aggregates, HTTP Server extensions in Java
Triggersyes, watching key changesnonoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoRound robinnone
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replicationMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynononoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
etcdGraph Engine infoformer name: TrinityHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Stardog
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