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DBMS > Amazon Redshift vs. Apache Impala vs. Realm vs. YugabyteDB

System Properties Comparison Amazon Redshift vs. Apache Impala vs. Realm vs. YugabyteDB

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonApache Impala  Xexclude from comparisonRealm  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsAnalytic DBMS for HadoopA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelRelational DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument storeDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.25
Rank#38  Overall
#23  Relational DBMS
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score7.18
Rank#52  Overall
#8  Document stores
Score2.48
Rank#108  Overall
#53  Relational DBMS
Websiteaws.amazon.com/­redshiftimpala.apache.orgrealm.iowww.yugabyte.com
Technical documentationdocs.aws.amazon.com/­redshiftimpala.apache.org/­impala-docs.htmlrealm.io/­docsdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperAmazon (based on PostgreSQL)Apache Software Foundation infoApache top-level project, originally developed by ClouderaRealm, acquired by MongoDB in May 2019Yugabyte Inc.
Initial release2012201320142017
Current release4.1.0, June 20222.19, September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageCC++C and C++
Server operating systemshostedLinuxAndroid
Backend: server-less
iOS
Windows
Linux
OS X
Data schemeyesyesyesdepending on used data model
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.nononono
Secondary indexesrestrictedyesyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like DML and DDL statementsnoyes, PostgreSQL compatible
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesAll languages supporting JDBC/ODBCAll languages supporting JDBC/ODBC.Net
Java infowith Android only
Objective-C
React Native
Swift
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes infouser defined functions and integration of map-reduceno inforuns within the applications so server-side scripts are unnecessaryyes infosql, plpgsql, C
Triggersnonoyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factornoneBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoIn-Memory realmno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyesyes
More information provided by the system vendor
Amazon RedshiftApache ImpalaRealmYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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More resources
Amazon RedshiftApache ImpalaRealmYugabyteDB
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