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DBMS > Amazon Aurora vs. BigchainDB vs. PlanetScale vs. Titan

System Properties Comparison Amazon Aurora vs. BigchainDB vs. PlanetScale vs. Titan

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonBigchainDB  Xexclude from comparisonPlanetScale  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 AmazonBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsScalable, distributed, serverless MySQL database platform built on top of VitessTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMSDocument storeRelational DBMSGraph DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score0.85
Rank#208  Overall
#35  Document stores
Score1.49
Rank#155  Overall
#72  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.bigchaindb.complanetscale.comgithub.com/­thinkaurelius/­titan
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlbigchaindb.readthedocs.io/­en/­latestplanetscale.com/­docsgithub.com/­thinkaurelius/­titan/­wiki
DeveloperAmazonPlanetScaleAurelius, owned by DataStax
Initial release2015201620202012
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercialOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonGoJava
Server operating systemshostedLinuxDocker
Linux
macOS
Linux
OS X
Unix
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.yesno
Secondary indexesyesyesyes
SQL infoSupport of SQLyesnoyes infowith proprietary extensionsno
APIs and other access methodsADO.NET
JDBC
ODBC
CLI Client
RESTful HTTP API
ADO.NET
JDBC
MySQL protocol
ODBC
Java 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
Go
Haskell
Java
JavaScript
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Clojure
Java
Python
Server-side scripts infoStored proceduresyesyes infoproprietary syntaxyes
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes infonot for MyISAM storage engineyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at shard levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyes 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.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesUsers with fine-grained authorization concept infono user groups or rolesUser authentification and security via Rexster Graph Server

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More resources
Amazon AuroraBigchainDBPlanetScaleTitan
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
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Graph DBMS increased their popularity by 500% within the last 2 years
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DataStax Acquires Aurelius and its TitanDB Graph Database
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24 August 2015, AWS Blog

Titan Graph Database Integration with DynamoDB: World-class Performance, Availability, and Scale for New Workloads
20 August 2015, All Things Distributed

JanusGraph Picks Up Where TitanDB Left Off
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