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DBMS > etcd vs. HarperDB vs. Kinetica vs. RisingWave vs. SAP SQL Anywhere

System Properties Comparison etcd vs. HarperDB vs. Kinetica vs. RisingWave vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonHarperDB  Xexclude from comparisonKinetica  Xexclude from comparisonRisingWave  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionA 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.Fully vectorized database across both GPUs and CPUsA distributed RDBMS for stream processing, wire-compatible with PostgreSQLRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelKey-value storeDocument storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.03
Rank#54  Overall
#5  Key-value stores
Score0.60
Rank#244  Overall
#38  Document stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.64
Rank#238  Overall
#110  Relational DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
www.harperdb.iowww.kinetica.comwww.risingwave.com/­databasewww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.harperdb.io/­docsdocs.kinetica.comdocs.risingwave.com/­docs/­current/­introhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperHarperDBKineticaRisingWave LabsSAP infoformerly Sybase
Initial release2017201220221992
Current release3.4, August 20193.1, August 20217.1, August 20211.2, September 202317, July 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree community edition availablecommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoNode.jsC, C++Rust
Server operating systemsFreeBSD
Linux
Windows infoexperimental
Linux
OS X
LinuxDocker
Linux
macOS
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freedynamic schemayesyesyes
Typing infopredefined data types such as float or datenoyes infoJSON data typesyesStandard SQL-types and JSONyes
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.nonononoyes
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoSQL-like data manipulation statementsSQL-like DML and DDL statementsyesyes
APIs and other access methodsgRPC
JSON over HTTP
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
RESTful HTTP API
JDBC
PostgreSQL wire protocol
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languages.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
C++
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1user defined functionsUDFs in Python or Javayes, in C/C++, Java, .Net or Perl
Triggersyes, watching key changesnoyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes infothe nodes on which a table resides can be definedSource-replica replicationSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlnoAccess rights for users and rolesAccess rights for users and roles on table levelUsers and Rolesfine grained access rights according to SQL-standard

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More resources
etcdHarperDBKineticaRisingWaveSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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