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DBMS > Apache Impala vs. CockroachDB vs. EDB Postgres vs. Realm

System Properties Comparison Apache Impala vs. CockroachDB vs. EDB Postgres vs. Realm

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCockroachDB  Xexclude from comparisonEDB Postgres  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.The EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score1.91
Rank#130  Overall
#60  Relational DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Websiteimpala.apache.orgwww.cockroachlabs.comwww.enterprisedb.comrealm.io
Technical documentationimpala.apache.org/­impala-docs.htmlwww.cockroachlabs.com/­docswww.enterprisedb.com/­docsrealm.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCockroach LabsEnterpriseDBRealm, acquired by MongoDB in May 2019
Initial release2013201520052014
Current release4.1.0, June 202224.1.0, May 202414, December 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0, commercial license availablecommercial infoBSD for PostgreSQL-componentsOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoC
Server operating systemsLinuxLinux
macOS
Windows
Linux
Windows
Android
Backend: server-less
iOS
Windows
Data schemeyesdynamic schemayesyes
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.nonoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes, wire compatible with PostgreSQLyes infostandard with numerous extensionsno
APIs and other access methodsJDBC
ODBC
JDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no inforuns within the applications so server-side scripts are unnecessary
Triggersnonoyesyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFThorizontal partitioning infoby hash, list or rangenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication using RAFTMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
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.nononoyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosRole-based access controlfine grained access rights according to SQL-standardyes

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More resources
Apache ImpalaCockroachDBEDB PostgresRealm
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