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

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

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonApache Impala  Xexclude from comparisonLeanXcale  Xexclude from comparisonMemcached  Xexclude from comparisonReductStore  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLAnalytic DBMS for HadoopA 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 modelGraph DBMS
Relational DBMS
Relational DBMSKey-value store
Relational DBMS
Key-value storeTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score12.45
Rank#40  Overall
#24  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
Websitebitnine.net/­agensgraphimpala.apache.orgwww.leanxcale.comwww.memcached.orggithub.com/­reductstore
www.reduct.store
Technical documentationbitnine.net/­documentationimpala.apache.org/­impala-docs.htmlgithub.com/­memcached/­memcached/­wikiwww.reduct.store/­docs
DeveloperBitnine Global Inc.Apache Software Foundation infoApache top-level project, originally developed by ClouderaLeanXcaleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalReductStore LLC
Initial release20162013201520032023
Current release2.1, December 20184.1.0, June 20221.6.27, May 20241.9, March 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2commercialOpen 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++CC++, Rust
Server operating systemsLinux
OS X
Windows
LinuxFreeBSD
Linux
OS X
Unix
Windows
Docker
Linux
macOS
Windows
Data schemedepending on used data modelyesyesschema-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 SQLyesSQL-like DML and DDL statementsyes infothrough Apache Derbyno
APIs and other access methodsCypher Query Language
JDBC
JDBC
ODBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Proprietary protocolHTTP API
Supported programming languagesC
Java
JavaScript
Python
All languages supporting JDBC/ODBCC
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 proceduresyesyes infouser defined functions and integration of map-reduceno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factornone infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes infousing SASL (Simple Authentication and Security Layer) protocol

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More resources
AgensGraphApache ImpalaLeanXcaleMemcachedReductStore
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