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DBMS > etcd vs. Google Cloud Firestore vs. Hive vs. JanusGraph vs. SAP SQL Anywhere

System Properties Comparison etcd vs. Google Cloud Firestore vs. Hive vs. JanusGraph vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonHive  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionA distributed reliable key-value storeCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.data warehouse software for querying and managing large distributed datasets, built on HadoopA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelKey-value storeDocument storeRelational DBMSGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score7.85
Rank#51  Overall
#8  Document stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
firebase.google.com/­products/­firestorehive.apache.orgjanusgraph.orgwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
firebase.google.com/­docs/­firestorecwiki.apache.org/­confluence/­display/­Hive/­Homedocs.janusgraph.orghelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperGoogleApache Software Foundation infoinitially developed by FacebookLinux Foundation; originally developed as Titan by AureliusSAP infoformerly Sybase
Initial release2017201220171992
Current release3.4, August 20193.1.3, April 20220.6.3, February 202317, July 2015
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 languageGoJavaJava
Server operating systemsFreeBSD
Linux
Windows infoexperimental
hostedAll OS with a Java VMLinux
OS X
Unix
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nononoyes
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsnoyes
APIs and other access methodsgRPC
JSON over HTTP
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Thrift
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
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
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C++
Java
PHP
Python
Clojure
Java
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud Functionsyes infouser defined functions and integration of map-reduceyesyes, in C/C++, Java, .Net or Perl
Triggersyes, watching key changesyes, with Cloud Functionsnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)none
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 replicationselectable replication factoryesSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflowyes infoquery execution via MapReduceyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Access rights for users, groups and rolesUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standard

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More resources
etcdGoogle Cloud FirestoreHiveJanusGraph infosuccessor of TitanSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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