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DBMS > etcd vs. Hive vs. PouchDB vs. Sqrrl vs. TinkerGraph

System Properties Comparison etcd vs. Hive vs. PouchDB vs. Sqrrl vs. TinkerGraph

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonHive  Xexclude from comparisonPouchDB  Xexclude from comparisonSqrrl  Xexclude from comparisonTinkerGraph  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionA distributed reliable key-value storedata warehouse software for querying and managing large distributed datasets, built on HadoopJavaScript DBMS with an API inspired by CouchDBAdaptable, secure NoSQL built on Apache AccumuloA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelKey-value storeRelational DBMSDocument storeDocument store
Graph DBMS
Key-value store
Wide column store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.03
Rank#54  Overall
#5  Key-value stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
hive.apache.orgpouchdb.comsqrrl.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
cwiki.apache.org/­confluence/­display/­Hive/­Homepouchdb.com/­guides
DeveloperApache Software Foundation infoinitially developed by FacebookApache Software FoundationAmazon infooriginally Sqrrl Data, Inc.
Initial release2012201220122009
Current release3.4, August 20193.1.3, April 20227.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2Open SourcecommercialOpen Source infoApache 2.0
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 languageGoJavaJavaScriptJavaJava
Server operating systemsFreeBSD
Linux
Windows infoexperimental
All OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)Linux
Data schemeschema-freeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenoyesnoyesyes
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.nonono
Secondary indexesnoyesyes infovia viewsyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnonono
APIs and other access methodsgRPC
JSON over HTTP
JDBC
ODBC
Thrift
HTTP REST infoonly for PouchDB Server
JavaScript API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
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++
Java
PHP
Python
JavaScriptActionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Groovy
Java
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceView functions in JavaScriptnono
Triggersyes, watching key changesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding infomaking use of Hadoopnone
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.selectable replication factorMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
selectable replication factor infomaking use of Hadoopnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.none
Foreign keys infoReferential integritynonononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoAtomic updates per row, document, or graph entityno
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoAccess rights for users, groups and rolesnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)no

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etcdHivePouchDBSqrrlTinkerGraph
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