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DBMS > Amazon Aurora vs. AnzoGraph DB vs. Apache Druid vs. Ignite vs. YDB

System Properties Comparison Amazon Aurora vs. AnzoGraph DB vs. Apache Druid vs. Ignite vs. YDB

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonApache Druid  Xexclude from comparisonIgnite  Xexclude from comparisonYDB  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 virtualizationOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMS
Time Series DBMS
Key-value store
Relational DBMS
Document store
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websiteaws.amazon.com/­rds/­auroracambridgesemantics.com/­anzographdruid.apache.orgignite.apache.orggithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdruid.apache.org/­docs/­latest/­designapacheignite.readme.io/­docsydb.tech/­en/­docs
DeveloperAmazonCambridge SemanticsApache Software Foundation and contributorsApache Software FoundationYandex
Initial release20152018201220152019
Current release2.3, January 202129.0.1, April 2024Apache Ignite 2.6
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availableOpen Source infoApache license v2Open Source infoApache 2.0Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java, .Net
Server operating systemshostedLinuxLinux
OS X
Unix
Linux
OS X
Solaris
Windows
Linux
Data schemeyesSchema-free and OWL/RDFS-schema supportyes infoschema-less columns are supportedyesFlexible Schema (defined schema, partial schema, schema free)
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.yesnonoyesno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyesSPARQL and SPARQL* as primary query language. Cypher preview.SQL for queryingANSI-99 for query and DML statements, subset of DDLSQL-like query language (YQL)
APIs and other access methodsADO.NET
JDBC
ODBC
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
RESTful HTTP/JSON API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP API (DynamoDB compatible)
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
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesnoyes (compute grid and cache interceptors can be used instead)no
Triggersyesnonoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningAutomatic shardingSharding infomanual/auto, time-basedShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication in MPP-Clusteryes, via HDFS, S3 or other storage enginesyes (replicated cache)Active-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingnoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infonot needed in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
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.yesyesnoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemSecurity Hooks for custom implementationsAccess rights defined for Yandex Cloud users

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More resources
Amazon AuroraAnzoGraph DBApache DruidIgniteYDB
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