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DBMS > Apache Druid vs. Informix vs. Ingres vs. Microsoft Azure Synapse Analytics

System Properties Comparison Apache Druid vs. Informix vs. Ingres vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonInformix  Xexclude from comparisonIngres  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataWell established RDBMSElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score17.87
Rank#35  Overall
#22  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitedruid.apache.orgwww.ibm.com/­products/­informixwww.actian.com/­databases/­ingresazure.microsoft.com/­services/­synapse-analytics
Technical documentationdruid.apache.org/­docs/­latest/­designinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
docs.actian.com/­ingresdocs.microsoft.com/­azure/­synapse-analytics
DeveloperApache Software Foundation and contributorsIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.Actian CorporationMicrosoft
Initial release201219841974 infooriginally developed at University Berkely in early 1970s2016
Current release29.0.1, April 202414.10.FC5, November 202011.2, May 2022
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infofree developer edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++ and JavaCC++
Server operating systemsLinux
OS X
Unix
AIX
HP-UX
Linux
macOS
Solaris
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
hosted
Data schemeyes infoschema-less columns are supportedyesyesyes
Typing infopredefined data types such as float or dateyesyes infoSince Version 12.10 support for JSON/BSON datatypesyesyes
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.nono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL for queryingyesyesyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ADO.NET
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
PHP
Server-side scripts infoStored proceduresnoyesyesTransact SQL
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication
Source-replica replication
Ingres Replicatoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemUsers with fine-grained authentication, authorization, and auditing controlsfine grained access rights according to SQL-standardyes

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More resources
Apache DruidInformixIngresMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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