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DBMS > etcd vs. GeoSpock vs. HBase vs. Heroic vs. Transwarp Hippo

System Properties Comparison etcd vs. GeoSpock vs. HBase vs. Heroic vs. Transwarp Hippo

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonGeoSpock  Xexclude from comparisonHBase  Xexclude from comparisonHeroic  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionA distributed reliable key-value storeSpatial and temporal data processing engine for extreme data scaleWide-column store based on Apache Hadoop and on concepts of BigTableTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelKey-value storeRelational DBMSWide column storeTime Series DBMSVector DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score0.00
Rank#383  Overall
#13  Vector DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
geospock.comhbase.apache.orggithub.com/­spotify/­heroicwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
hbase.apache.org/­book.htmlspotify.github.io/­heroic
DeveloperGeoSpockApache Software Foundation infoApache top-level project, originally developed by PowersetSpotify
Initial release200820142023
Current release3.4, August 20192.0, September 20192.3.4, January 20211.0, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache version 2Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, JavascriptJavaJavaC++
Server operating systemsFreeBSD
Linux
Windows infoexperimental
hostedLinux
Unix
Windows infousing Cygwin
Linux
macOS
Data schemeschema-freeyesschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or datenoyesoptions to bring your own types, AVROyesVector, Numeric and String
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.nonononono
Secondary indexesnotemporal, categoricalnoyes infovia Elasticsearchno
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)nonono
APIs and other access methodsgRPC
JSON over HTTP
JDBCJava API
RESTful HTTP API
Thrift
HQL (Heroic Query Language, a JSON-based language)
HTTP API
RESTful HTTP API
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
Python
Server-side scripts infoStored proceduresnonoyes infoCoprocessors in Javanono
Triggersyes, watching key changesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingSharding
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 replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoSingle row ACID (across millions of columns)nono
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.nonoyesnoyes
User concepts infoAccess controlnoAccess rights for users can be defined per tableAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACRole based access control and fine grained access rights

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More resources
etcdGeoSpockHBaseHeroicTranswarp Hippo
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