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DBMS > Apache Impala vs. CockroachDB vs. Datomic vs. RocksDB vs. Transbase

System Properties Comparison Apache Impala vs. CockroachDB vs. Datomic vs. RocksDB vs. Transbase

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCockroachDB  Xexclude from comparisonDatomic  Xexclude from comparisonRocksDB  Xexclude from comparisonTransbase  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.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityEmbeddable persistent key-value store optimized for fast storage (flash and RAM)A resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score4.74
Rank#67  Overall
#36  Relational DBMS
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score2.84
Rank#97  Overall
#16  Key-value stores
Score0.05
Rank#355  Overall
#150  Relational DBMS
Websiteimpala.apache.orgwww.cockroachlabs.comwww.datomic.comrocksdb.orgwww.transaction.de/­en/­products/­transbase.html
Technical documentationimpala.apache.org/­impala-docs.htmlwww.cockroachlabs.com/­docsdocs.datomic.comgithub.com/­facebook/­rocksdb/­wikiwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCockroach LabsCognitectFacebook, Inc.Transaction Software GmbH
Initial release20132015201220131987
Current release4.1.0, June 202224.1.0, May 20241.0.7180, July 20249.4.0, June 2024Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0, commercial license availablecommercial infolimited edition freeOpen Source infoBSDcommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoJava, ClojureC++C and C++
Server operating systemsLinuxLinux
macOS
Windows
All OS with a Java VMLinuxFreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesdynamic schemayesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nonononono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes, wire compatible with PostgreSQLnonoyes
APIs and other access methodsJDBC
ODBC
JDBCRESTful HTTP APIC++ API
Java API
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Clojure
Java
C
C++
Go
Java
Perl
Python
Ruby
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes infoTransaction Functionsnoyes
TriggersnonoBy using transaction functionsyes
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 RAFTnone infoBut extensive use of caching in the application peershorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication using RAFTnone infoBut extensive use of caching in the application peersyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDyesyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes inforecommended only for testing and developmentyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosRole-based access controlnonofine grained access rights according to SQL-standard

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More resources
Apache ImpalaCockroachDBDatomicRocksDBTransbase
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