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DBMS > Amazon Aurora vs. GreptimeDB vs. Ignite vs. LevelDB vs. RDF4J

System Properties Comparison Amazon Aurora vs. GreptimeDB vs. Ignite vs. LevelDB vs. RDF4J

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonGreptimeDB  Xexclude from comparisonIgnite  Xexclude from comparisonLevelDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAn open source Time Series DBMS built for increased scalability, high performance and efficiencyApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSTime Series DBMSKey-value store
Relational DBMS
Key-value storeRDF store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.69
Rank#230  Overall
#9  RDF stores
Websiteaws.amazon.com/­rds/­auroragreptime.comignite.apache.orggithub.com/­google/­leveldbrdf4j.org
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.greptime.comapacheignite.readme.io/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdrdf4j.org/­documentation
DeveloperAmazonGreptime Inc.Apache Software FoundationGoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20152022201520112004
Current releaseApache Ignite 2.61.23, February 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoBSDOpen 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 languageRustC++, Java, .NetC++Java
Server operating systemshostedAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Illumos
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeyesschema-free, schema definition possibleyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.yesnoyesno
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesyesANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC
HTTP API
JDBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
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
C++
Erlang
Go
Java
JavaScript
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Java
PHP
Python
Server-side scripts infoStored proceduresyesPythonyes (compute grid and cache interceptors can be used instead)noyes
Triggersyesyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes (replicated cache)nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes 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.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardSimple rights management via user accountsSecurity Hooks for custom implementationsnono
More information provided by the system vendor
Amazon AuroraGreptimeDBIgniteLevelDBRDF4J 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 AuroraGreptimeDBIgniteLevelDBRDF4J infoformerly known as Sesame
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