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DBMS > Apache Impala vs. CockroachDB vs. LevelDB

System Properties Comparison Apache Impala vs. CockroachDB vs. LevelDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCockroachDB  Xexclude from comparisonLevelDB  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.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string values
Primary database modelRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score6.10
Rank#58  Overall
#33  Relational DBMS
Score2.75
Rank#107  Overall
#19  Key-value stores
Websiteimpala.apache.orgwww.cockroachlabs.comgithub.com/­google/­leveldb
Technical documentationimpala.apache.org/­impala-docs.htmlwww.cockroachlabs.com/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCockroach LabsGoogle
Initial release201320152011
Current release4.1.0, June 202223.1.1, May 20231.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0, commercial license availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoC++
Server operating systemsLinuxLinux
macOS
Windows
Illumos
Linux
OS X
Windows
Data schemeyesdynamic schemaschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyes, wire compatible with PostgreSQLno
APIs and other access methodsJDBC
ODBC
JDBC
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenono
Triggersnonono
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
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication using RAFTnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosRole-based access controlno

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More resources
Apache ImpalaCockroachDBLevelDB
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