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DBMS > Apache Impala vs. CockroachDB vs. EXASOL

System Properties Comparison Apache Impala vs. CockroachDB vs. EXASOL

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCockroachDB  Xexclude from comparisonEXASOL  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.High-performance, in-memory, MPP database specifically designed for in-memory analytics.
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Websiteimpala.apache.orgwww.cockroachlabs.comwww.exasol.com
Technical documentationimpala.apache.org/­impala-docs.htmlwww.cockroachlabs.com/­docswww.exasol.com/­resources
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCockroach LabsExasol
Initial release201320152000
Current release4.1.0, June 202223.1.1, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Go
Server operating systemsLinuxLinux
macOS
Windows
Data schemeyesdynamic schemayes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes, wire compatible with PostgreSQLyes
APIs and other access methodsJDBC
ODBC
JDBC.Net
JDBC
ODBC
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Java
Lua
Python
R
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenouser defined functions
Triggersnonoyes
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 RAFTSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyes infoHadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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 KerberosRole-based access controlAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache ImpalaCockroachDBEXASOL
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