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DBMS > Amazon Aurora vs. Blueflood vs. EXASOL vs. Hazelcast vs. TDengine

System Properties Comparison Amazon Aurora vs. Blueflood vs. EXASOL vs. Hazelcast vs. TDengine

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonBlueflood  Xexclude from comparisonEXASOL  Xexclude from comparisonHazelcast  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonScalable TimeSeries DBMS based on CassandraHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A widely adopted in-memory data gridTime Series DBMS and big data platform
Primary database modelRelational DBMSTime Series DBMSRelational DBMSKey-value storeTime Series DBMS
Secondary database modelsDocument storeDocument store infoJSON support with IMDG 3.12Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websiteaws.amazon.com/­rds/­aurorablueflood.iowww.exasol.comhazelcast.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlgithub.com/­rax-maas/­blueflood/­wikiwww.exasol.com/­resourceshazelcast.org/­imdg/­docsdocs.tdengine.com
DeveloperAmazonRackspaceExasolHazelcastTDEngine, previously Taos Data
Initial release20152013200020082019
Current release5.3.6, November 20233.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoAGPL V3, also commercial editions 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 languageJavaJavaC
Server operating systemshostedLinux
OS X
All OS with a Java VMLinux
Windows
Data schemeyespredefined schemeyesschema-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.yesnonoyes infothe object must implement a serialization strategyno
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLyesnoyesSQL-like query languageStandard SQL with extensions for time-series applications
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP REST.Net
JDBC
ODBC
WebSocket
JCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
RESTful HTTP 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
Java
Lua
Python
R
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyesnouser defined functionsyes infoEvent Listeners, Executor Servicesno
Triggersyesnoyesyes infoEventsyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infobased on CassandraShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on Cassandrayes infoReplicated Mapyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoHadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles according to SQL-standardRole-based access controlyes
More information provided by the system vendor
Amazon AuroraBluefloodEXASOLHazelcastTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
Amazon AuroraBluefloodEXASOLHazelcastTDengine
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