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DBMS > Amazon Aurora vs. etcd vs. GigaSpaces vs. Sphinx vs. Titan

System Properties Comparison Amazon Aurora vs. etcd vs. GigaSpaces vs. Sphinx vs. Titan

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonetcd  Xexclude from comparisonGigaSpaces  Xexclude from comparisonSphinx  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonA distributed reliable key-value storeHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsOpen source search engine for searching in data from different sources, e.g. relational databasesTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMSKey-value storeDocument store
Object oriented DBMS infoValues are user defined objects
Search engineGraph DBMS
Secondary database modelsDocument storeGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score7.03
Rank#54  Overall
#5  Key-value stores
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websiteaws.amazon.com/­rds/­auroraetcd.io
github.com/­etcd-io/­etcd
www.gigaspaces.comsphinxsearch.comgithub.com/­thinkaurelius/­titan
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmletcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.gigaspaces.com/­latest/­landing.htmlsphinxsearch.com/­docsgithub.com/­thinkaurelius/­titan/­wiki
DeveloperAmazonGigaspaces TechnologiesSphinx Technologies Inc.Aurelius, owned by DataStax
Initial release2015200020012012
Current release3.4, August 201915.5, September 20203.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2; Commercial licenses availableOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, C++, .NetC++Java
Server operating systemshostedFreeBSD
Linux
Windows infoexperimental
Linux
macOS
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesnoyes
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.yesnono infoXML can be used for describing objects metadata
Secondary indexesyesnoyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyesnoSQL-99 for query and DML statementsSQL-like query language (SphinxQL)no
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC
JSON over HTTP
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Proprietary protocolJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C++
Java
Python
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Clojure
Java
Python
Server-side scripts infoStored proceduresyesnoyesnoyes
Triggersyesyes, watching key changesyes, event driven architecturenoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationUsing 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
noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsnoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnononoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoRole-based access controlnoUser authentification and security via Rexster Graph Server

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More resources
Amazon AuroraetcdGigaSpacesSphinxTitan
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