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DBMS > Amazon Aurora vs. Apache Impala vs. Apache Jena - TDB vs. Drizzle vs. Faircom DB

System Properties Comparison Amazon Aurora vs. Apache Impala vs. Apache Jena - TDB vs. Drizzle vs. Faircom DB

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Impala  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonDrizzle  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAnalytic DBMS for HadoopA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Native high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.
Primary database modelRelational DBMSRelational DBMSRDF storeRelational DBMSKey-value store
Relational DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score3.75
Rank#84  Overall
#3  RDF stores
Score0.20
Rank#318  Overall
#48  Key-value stores
#141  Relational DBMS
Websiteaws.amazon.com/­rds/­auroraimpala.apache.orgjena.apache.org/­documentation/­tdb/­index.htmlwww.faircom.com/­products/­faircom-db
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlimpala.apache.org/­impala-docs.htmljena.apache.org/­documentation/­tdb/­index.htmldocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.html
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software Foundation infooriginally developed by HP LabsDrizzle project, originally started by Brian AkerFairCom Corporation
Initial release20152013200020081979
Current release4.1.0, June 20224.9.0, July 20237.2.4, September 2012V12, November 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache License, Version 2.0Open Source infoGNU GPLcommercial infoRestricted, free version available
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 languageC++JavaC++ANSI C, C++
Server operating systemshostedLinuxAll OS with a Java VMFreeBSD
Linux
OS X
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Data schemeyesyesyes infoRDF Schemasyesschema free, schema optional, schema required, partial schema,
Typing infopredefined data types such as float or dateyesyesyesyesyes, ANSI SQL Types, JSON, typed binary structures
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
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnoyes infowith proprietary extensionsyes, ANSI SQL with proprietary extensions
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
Fuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
JDBCADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
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/ODBCJavaC
C++
Java
PHP
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceyesnoyes info.Net, JavaScript, C/C++
Triggersyesnoyes infovia event handlerno infohooks for callbacks inside the server can be used.yes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnoneShardingFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factornoneMulti-source replication
Source-replica replication
yes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoTDB TransactionsACIDtunable from ACID to Eventually Consistent
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesYes, tunable from durable to delayed durability to in-memory
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-standardAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess control via Jena SecurityPluggable authentication mechanisms infoe.g. LDAP, HTTPFine grained access rights according to SQL-standard with additional protections for files

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More resources
Amazon AuroraApache ImpalaApache Jena - TDBDrizzleFaircom DB infoformerly c-treeACE
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