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DBMS > Amazon Aurora vs. Apache Impala vs. Graph Engine vs. KairosDB vs. Lovefield

System Properties Comparison Amazon Aurora vs. Apache Impala vs. Graph Engine vs. KairosDB vs. Lovefield

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Impala  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonKairosDB  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAnalytic DBMS for HadoopA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineDistributed Time Series DBMS based on Cassandra or H2Embeddable relational database for web apps written in pure JavaScript
Primary database modelRelational DBMSRelational DBMSGraph DBMS
Key-value store
Time Series DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Websiteaws.amazon.com/­rds/­auroraimpala.apache.orgwww.graphengine.iogithub.com/­kairosdb/­kairosdbgoogle.github.io/­lovefield
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlimpala.apache.org/­impala-docs.htmlwww.graphengine.io/­docs/­manualkairosdb.github.iogithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaMicrosoftGoogle
Initial release20152013201020132014
Current release4.1.0, June 20221.2.2, November 20182.1.12, February 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++.NET and CJavaJavaScript
Server operating systemshostedLinux.NETLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesnononono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnonoSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP APIGraphite protocol
HTTP REST
Telnet API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All languages supporting JDBC/ODBCC#
C++
F#
Visual Basic
Java
JavaScript infoNode.js
PHP
Python
JavaScript
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceyesnono
TriggersyesnononoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardinghorizontal partitioningSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorselectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesnoyes infousing MemoryDB
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and Kerberossimple password-based access controlno

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More resources
Amazon AuroraApache ImpalaGraph Engine infoformer name: TrinityKairosDBLovefield
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