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DBMS > Apache Impala vs. Heroic vs. Informix vs. Microsoft Azure Synapse Analytics

System Properties Comparison Apache Impala vs. Heroic vs. Informix vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonHeroic  Xexclude from comparisonInformix  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSTime Series DBMSRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score0.57
Rank#250  Overall
#21  Time Series DBMS
Score18.85
Rank#35  Overall
#22  Relational DBMS
Score22.71
Rank#30  Overall
#18  Relational DBMS
Websiteimpala.apache.orggithub.com/­spotify/­heroicwww.ibm.com/­products/­informixazure.microsoft.com/­services/­synapse-analytics
Technical documentationimpala.apache.org/­impala-docs.htmlspotify.github.io/­heroicinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
docs.microsoft.com/­azure/­synapse-analytics
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaSpotifyIBM, 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.Microsoft
Initial release2013201419842016
Current release4.1.0, June 202214.10.FC5, November 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0commercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC, C++ and JavaC++
Server operating systemsLinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
hosted
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infoSince Version 12.10 support for JSON/BSON datatypesyes
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.nonono
Secondary indexesyesyes infovia Elasticsearchyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesyes
APIs and other access methodsJDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
PHP
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyesTransact SQL
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno 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 datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosUsers with fine-grained authentication, authorization, and auditing controlsyes

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