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DBMS > etcd vs. HEAVY.AI vs. Pinecone vs. Stardog vs. SWC-DB

System Properties Comparison etcd vs. HEAVY.AI vs. Pinecone vs. Stardog vs. SWC-DB

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonPinecone  Xexclude from comparisonStardog  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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 hardwareA managed, cloud-native vector databaseEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA high performance, scalable Wide Column DBMS
Primary database modelKey-value storeRelational DBMSVector DBMSGraph DBMS
RDF store
Wide column store
Secondary database modelsSpatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.03
Rank#54  Overall
#5  Key-value stores
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score3.23
Rank#92  Overall
#2  Vector DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score0.08
Rank#364  Overall
#13  Wide column stores
Websiteetcd.io
github.com/­etcd-io/­etcd
github.com/­heavyai/­heavydb
www.heavy.ai
www.pinecone.iowww.stardog.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.heavy.aidocs.pinecone.io/­docs/­overviewdocs.stardog.com
DeveloperHEAVY.AI, Inc.Pinecone Systems, IncStardog-UnionAlex Kashirin
Initial release2016201920102020
Current release3.4, August 20195.10, January 20227.3.0, May 20200.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; enterprise edition availablecommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++ and CUDAJavaC++
Server operating systemsFreeBSD
Linux
Windows infoexperimental
LinuxhostedLinux
macOS
Windows
Linux
Data schemeschema-freeyesschema-free and OWL/RDFS-schema supportschema-free
Typing infopredefined data types such as float or datenoyesString, Number, Booleanyes
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 possibleno
Secondary indexesnonoyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnoyesnoYes, compatible with all major SQL variants through dedicated BI/SQL ServerSQL-like query language
APIs and other access methodsgRPC
JSON over HTTP
JDBC
ODBC
Thrift
Vega
RESTful HTTP APIGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Proprietary protocol
Thrift
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
Python.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C++
Server-side scripts infoStored proceduresnonouser defined functions and aggregates, HTTP Server extensions in Javano
Triggersyes, watching key changesnoyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinnoneSharding
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 methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
etcdHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022PineconeStardogSWC-DB infoSuper Wide Column Database
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