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DBMS > Apache Impala vs. H2 vs. LeanXcale vs. Memcached vs. ReductStore

System Properties Comparison Apache Impala vs. H2 vs. LeanXcale vs. Memcached vs. ReductStore

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonH2  Xexclude from comparisonLeanXcale  Xexclude from comparisonMemcached  Xexclude from comparisonReductStore  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesIn-memory key-value store, originally intended for cachingDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Key-value storeTime Series DBMS
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
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Websiteimpala.apache.orgwww.h2database.comwww.leanxcale.comwww.memcached.orggithub.com/­reductstore
www.reduct.store
Technical documentationimpala.apache.org/­impala-docs.htmlwww.h2database.com/­html/­main.htmlgithub.com/­memcached/­memcached/­wikiwww.reduct.store/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaThomas MuellerLeanXcaleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalReductStore LLC
Initial release20132005201520032023
Current release4.1.0, June 20222.2.220, July 20231.6.27, May 20241.9, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infodual-licence (Mozilla public license, Eclipse public license)commercialOpen Source infoBSD licenseOpen Source infoBusiness Source License 1.1
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaCC++, Rust
Server operating systemsLinuxAll OS with a Java VMFreeBSD
Linux
OS X
Unix
Windows
Docker
Linux
macOS
Windows
Data schemeyesyesyesschema-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.nono
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes infothrough Apache Derbyno
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Proprietary protocolHTTP API
Supported programming languagesAll languages supporting JDBC/ODBCJavaC
Java
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C++
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJava Stored Procedures and User-Defined Functionsno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorWith 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 MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardyes infousing SASL (Simple Authentication and Security Layer) protocol

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More resources
Apache ImpalaH2LeanXcaleMemcachedReductStore
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