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DBMS > etcd vs. GigaSpaces vs. Google Cloud Firestore vs. HBase vs. Oracle Coherence

System Properties Comparison etcd vs. GigaSpaces vs. Google Cloud Firestore vs. HBase vs. Oracle Coherence

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonGigaSpaces  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonHBase  Xexclude from comparisonOracle Coherence  Xexclude from comparison
DescriptionA distributed reliable key-value storeHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsCloud 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.Wide-column store based on Apache Hadoop and on concepts of BigTableOracles in-memory data grid solution
Primary database modelKey-value storeDocument store
Object oriented DBMS infoValues are user defined objects
Document storeWide column storeKey-value store
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.03
Rank#54  Overall
#5  Key-value stores
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Score27.97
Rank#26  Overall
#2  Wide column stores
Score1.97
Rank#129  Overall
#22  Key-value stores
Websiteetcd.io
github.com/­etcd-io/­etcd
www.gigaspaces.comfirebase.google.com/­products/­firestorehbase.apache.orgwww.oracle.com/­java/­coherence
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.gigaspaces.com/­latest/­landing.htmlfirebase.google.com/­docs/­firestorehbase.apache.org/­book.htmldocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperGigaspaces TechnologiesGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetOracle
Initial release2000201720082007
Current release3.4, August 201915.5, September 20202.3.4, January 202114.1, August 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava, C++, .NetJavaJava
Server operating systemsFreeBSD
Linux
Windows infoexperimental
Linux
macOS
Solaris
Windows
hostedLinux
Unix
Windows infousing Cygwin
All OS with a Java VM
Data schemeschema-freeschema-freeschema-freeschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or datenoyesyesoptions to bring your own types, AVROyes
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.nono infoXML can be used for describing objects metadatanonono
Secondary indexesnoyesyesnono
SQL infoSupport of SQLnoSQL-99 for query and DML statementsnonono
APIs and other access methodsgRPC
JSON over HTTP
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
JCache
JPA
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
.Net
C++
Java
Python
Scala
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C++
Java
Server-side scripts infoStored proceduresnoyesyes, Firebase Rules & Cloud Functionsyes infoCoprocessors in Javano
Triggersyes, watching key changesyes, event driven architectureyes, with Cloud Functionsyesyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
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 infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replicationMulti-source replication
Source-replica replication
yes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsUsing Cloud Dataflowyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesSingle row ACID (across millions of columns)configurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlnoRole-based access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACauthentification to access the cache via certificates or http basic authentication

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More resources
etcdGigaSpacesGoogle Cloud FirestoreHBaseOracle Coherence
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