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DBMS > Apache Impala vs. ArangoDB vs. GBase vs. Memcached

System Properties Comparison Apache Impala vs. ArangoDB vs. GBase vs. Memcached

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonArangoDB  Xexclude from comparisonGBase  Xexclude from comparisonMemcached  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.An analytical database for business intelligence with large customers in China.In-memory key-value store, originally intended for caching
Primary database modelRelational DBMSDocument store
Graph DBMS
Key-value store
Search engine
Relational DBMSKey-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score3.32
Rank#90  Overall
#15  Document stores
#5  Graph DBMS
#12  Key-value stores
#10  Search engines
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Websiteimpala.apache.orgarangodb.comwww.gbase.cnwww.memcached.org
Technical documentationimpala.apache.org/­impala-docs.htmldocs.arangodb.comgithub.com/­memcached/­memcached/­wiki
Social network pagesLinkedInTwitterFacebookYouTubeInstagram
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaArangoDB Inc.Danga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release201320122003
Current release4.1.0, June 20223.11.5, November 2023GBase 8a1.6.25, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2; Commercial license (Enterprise) availablecommercialOpen Source infoBSD license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C
Server operating systemsLinuxLinux
OS X
Windows
FreeBSD
Linux
OS X
Unix
Windows
Data schemeyesschema-free infoautomatically recognizes schema within a collectionschema-free
Typing infopredefined data types such as float or dateyesyes infostring, double, boolean, list, hashno
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.no
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnono
APIs and other access methodsJDBC
ODBC
AQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
Proprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
.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-reduceJavaScriptno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infosince version 2.0none
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication with configurable replication factornone infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno infocan be done with stored procedures in JavaScriptno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Foreign keys infoReferential integritynoyes inforelationships in graphsno
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 persistentyesyesno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyesyes infousing SASL (Simple Authentication and Security Layer) protocol
More information provided by the system vendor
Apache ImpalaArangoDBGBaseMemcached
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Market metricsArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more

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More resources
Apache ImpalaArangoDBGBaseMemcached
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