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DBMS > Apache Impala vs. Badger vs. CockroachDB vs. H2 vs. Memcached

System Properties Comparison Apache Impala vs. Badger vs. CockroachDB vs. H2 vs. Memcached

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBadger  Xexclude from comparisonCockroachDB  Xexclude from comparisonH2  Xexclude from comparisonMemcached  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.CockroachDB 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.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.In-memory key-value store, originally intended for caching
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.22
Rank#320  Overall
#47  Key-value stores
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Websiteimpala.apache.orggithub.com/­dgraph-io/­badgerwww.cockroachlabs.comwww.h2database.comwww.memcached.org
Technical documentationimpala.apache.org/­impala-docs.htmlgodoc.org/­github.com/­dgraph-io/­badgerwww.cockroachlabs.com/­docswww.h2database.com/­html/­main.htmlgithub.com/­memcached/­memcached/­wiki
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDGraph LabsCockroach LabsThomas MuellerDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release20132017201520052003
Current release4.1.0, June 202224.1.0, May 20242.2.220, July 20231.6.27, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoApache 2.0, commercial license availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoBSD license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoGoJavaC
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
All OS with a Java VMFreeBSD
Linux
OS X
Unix
Windows
Data schemeyesschema-freedynamic schemayesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesno
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 indexesyesnoyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes, wire compatible with PostgreSQLyesno
APIs and other access methodsJDBC
ODBC
JDBCJDBC
ODBC
Proprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBCGoC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Java.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonoJava Stored Procedures and User-Defined Functionsno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal 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 RAFTnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneMulti-source replication using RAFTWith clustering: 2 database servers on different computers operate on identical copies of a databasenone infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoRole-based access controlfine grained access rights according to SQL-standardyes infousing SASL (Simple Authentication and Security Layer) protocol

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More resources
Apache ImpalaBadgerCockroachDBH2Memcached
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