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DBMS > Amazon Aurora vs. AnzoGraph DB vs. EXASOL vs. Hazelcast vs. QuestDB

System Properties Comparison Amazon Aurora vs. AnzoGraph DB vs. EXASOL vs. Hazelcast vs. QuestDB

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonEXASOL  Xexclude from comparisonHazelcast  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A widely adopted in-memory data gridA high performance open source SQL database for time series data
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational 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
Score8.50
Rank#49  Overall
#31  Relational DBMS
Score0.27
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score2.25
Rank#120  Overall
#57  Relational DBMS
Score6.87
Rank#55  Overall
#6  Key-value stores
Score2.48
Rank#115  Overall
#9  Time Series DBMS
Websiteaws.amazon.com/­rds/­auroracambridgesemantics.com/­anzographwww.exasol.comhazelcast.comquestdb.io
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.exasol.com/­resourceshazelcast.org/­imdg/­docsquestdb.io/­docs
DeveloperAmazonCambridge SemanticsExasolHazelcastQuestDB Technology Inc
Initial release20152018200020082014
Current release2.3, January 20215.3.6, November 2023
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availablecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0
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 languageJavaJava (Zero-GC), C++, Rust
Server operating systemshostedLinuxAll OS with a Java VMLinux
macOS
Windows
Data schemeyesSchema-free and OWL/RDFS-schema supportyesschema-freeyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyesyes
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 SQLyesSPARQL and SPARQL* as primary query language. Cypher preview.yesSQL-like query languageSQL with time-series extensions
APIs and other access methodsADO.NET
JDBC
ODBC
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
.Net
JDBC
ODBC
WebSocket
JCache
JPA
Memcached protocol
RESTful HTTP API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
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++
Java
Python
Java
Lua
Python
R
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesuser defined functionsyes infoEvent Listeners, Executor Servicesno
Triggersyesnoyesyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningAutomatic shardingShardingShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication in MPP-Clusteryes infoReplicated MapSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingyes infoHadoop integrationyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integrityyesno infonot needed in graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDone or two-phase-commit; repeatable reads; read commitedACID for single-table writes
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.yesyesyesyesyes infothrough memory mapped files
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesAccess rights for users, groups and roles according to SQL-standardRole-based access control
More information provided by the system vendor
Amazon AuroraAnzoGraph DBEXASOLHazelcastQuestDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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