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DBMS > Amazon Redshift vs. Apache Impala vs. Immudb vs. Microsoft Azure SQL Database vs. YDB

System Properties Comparison Amazon Redshift vs. Apache Impala vs. Immudb vs. Microsoft Azure SQL Database vs. YDB

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonApache Impala  Xexclude from comparisonImmudb  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsAnalytic DBMS for HadoopAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Database as a Service offering with high compatibility to Microsoft SQL ServerA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMSDocument store
Relational DBMS
Secondary database modelsDocument storeRelational DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.24
Rank#305  Overall
#43  Key-value stores
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websiteaws.amazon.com/­redshiftimpala.apache.orggithub.com/­codenotary/­immudb
immudb.io
azure.microsoft.com/­en-us/­products/­azure-sql/­databasegithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.aws.amazon.com/­redshiftimpala.apache.org/­impala-docs.htmldocs.immudb.iodocs.microsoft.com/­en-us/­azure/­azure-sqlydb.tech/­en/­docs
DeveloperAmazon (based on PostgreSQL)Apache Software Foundation infoApache top-level project, originally developed by ClouderaCodenotaryMicrosoftYandex
Initial release20122013202020102019
Current release4.1.0, June 20221.2.3, April 2022V12
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache Version 2.0commercialOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++GoC++
Server operating systemshostedLinuxBSD
Linux
macOS
Solaris
Windows
z/OS
hostedLinux
Data schemeyesyesschema-freeyesFlexible 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.nononoyesno
Secondary indexesrestrictedyesyesyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like DML and DDL statementsSQL-like syntaxyesSQL-like query language (YQL)
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
gRPC protocol
PostgreSQL wire protocol
ADO.NET
JDBC
ODBC
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesAll languages supporting JDBC/ODBCAll languages supporting JDBC/ODBC.Net
Go
Java
JavaScript (Node.js)
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes infouser defined functions and integration of map-reducenoTransact SQLno
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryes, with always 3 replicas availableActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
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.yesnonono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardAccess rights defined for Yandex Cloud users

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More resources
Amazon RedshiftApache ImpalaImmudbMicrosoft Azure SQL Database infoformerly SQL AzureYDB
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