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DBMS > Amazon Aurora vs. Apache Impala vs. Ehcache vs. GreptimeDB vs. RDF4J

System Properties Comparison Amazon Aurora vs. Apache Impala vs. Ehcache vs. GreptimeDB vs. RDF4J

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Impala  Xexclude from comparisonEhcache  Xexclude from comparisonGreptimeDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAnalytic DBMS for HadoopA widely adopted Java cache with tiered storage optionsAn open source Time Series DBMS built for increased scalability, high performance and efficiencyRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSRelational DBMSKey-value storeTime Series DBMSRDF store
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
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Websiteaws.amazon.com/­rds/­auroraimpala.apache.orgwww.ehcache.orggreptime.comrdf4j.org
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlimpala.apache.org/­impala-docs.htmlwww.ehcache.org/­documentationdocs.greptime.comrdf4j.org/­documentation
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaTerracotta Inc, owned by Software AGGreptime Inc.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20152013200920222004
Current release4.1.0, June 20223.10.0, March 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2.0Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaRustJava
Server operating systemshostedLinuxAll OS with a Java VMAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesschema-freeschema-free, schema definition possibleyes infoRDF Schemas
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.yesnonono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnoyesno
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
JCachegRPC
HTTP API
JDBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
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++
Erlang
Go
Java
JavaScript
Java
PHP
Python
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reducenoPythonyes
Triggersyesnoyes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infoby using Terracotta ServerShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factoryes infoby using Terracotta Servernone
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 ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes infosupports JTA and can work as an XA resourceACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing a tiered cache-storage approachyesyes infoin-memory storage is supported as well
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 KerberosnoSimple rights management via user accountsno
More information provided by the system vendor
Amazon AuroraApache ImpalaEhcacheGreptimeDBRDF4J infoformerly known as Sesame
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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More resources
Amazon AuroraApache ImpalaEhcacheGreptimeDBRDF4J infoformerly known as Sesame
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