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DBMS > etcd vs. HEAVY.AI vs. RDF4J vs. Teradata

System Properties Comparison etcd vs. HEAVY.AI vs. RDF4J vs. Teradata

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionA distributed reliable key-value storeA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelKey-value storeRelational DBMSRDF storeRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.05
Rank#53  Overall
#5  Key-value stores
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score0.72
Rank#222  Overall
#9  RDF stores
Score41.47
Rank#22  Overall
#15  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
github.com/­heavyai/­heavydb
www.heavy.ai
rdf4j.orgwww.teradata.com
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.heavy.airdf4j.org/­documentationdocs.teradata.com
DeveloperHEAVY.AI, Inc.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.Teradata
Initial release201620041984
Current release3.4, August 20195.10, January 2022Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; enterprise edition availableOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
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 languageGoC++ and CUDAJava
Server operating systemsFreeBSD
Linux
Windows infoexperimental
LinuxLinux
OS X
Unix
Windows
hosted
Linux
Data schemeschema-freeyesyes infoRDF Schemasyes
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.nonoyes
Secondary indexesnonoyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoyesnoyes infoSQL 2016 + extensions
APIs and other access methodsgRPC
JSON over HTTP
JDBC
ODBC
Thrift
Vega
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
All languages supporting JDBC/ODBC/Thrift
Python
Java
PHP
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnonoyesyes infoUDFs, stored procedures, table functions in parallel
Triggersyes, watching key changesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinnoneSharding infoHashing
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 replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
etcdHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022RDF4J infoformerly known as SesameTeradata
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