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DBMS > Apache Impala vs. ArangoDB vs. BaseX vs. Hypertable vs. Microsoft Azure Cosmos DB

System Properties Comparison Apache Impala vs. ArangoDB vs. BaseX vs. Hypertable vs. Microsoft Azure Cosmos DB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonArangoDB  Xexclude from comparisonBaseX  Xexclude from comparisonHypertable  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Light-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.An open source BigTable implementation based on distributed file systems such as HadoopGlobally distributed, horizontally scalable, multi-model database service
Primary database modelRelational DBMSDocument store
Graph DBMS
Key-value store
Search engine
Native XML DBMSWide column storeDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument storeSpatial DBMS
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
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websiteimpala.apache.orgarangodb.combasex.orgazure.microsoft.com/­services/­cosmos-db
Technical documentationimpala.apache.org/­impala-docs.htmldocs.arangodb.comdocs.basex.orglearn.microsoft.com/­azure/­cosmos-db
Social network pagesLinkedInTwitterFacebookYouTubeInstagram
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaArangoDB Inc.BaseX GmbHHypertable Inc.Microsoft
Initial release20132012200720092014
Current release4.1.0, June 20223.11.5, November 202310.7, August 20230.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoBSD licenseOpen Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++JavaC++
Server operating systemsLinuxLinux
OS X
Windows
Linux
OS X
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
hosted
Data schemeyesschema-free infoautomatically recognizes schema within a collectionschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infostring, double, boolean, list, hashno infoXQuery supports typesnoyes infoJSON types
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 indexesyesyesyesrestricted infoonly exact value or prefix value scansyes infoAll properties auto-indexed by default
SQL infoSupport of SQLSQL-like DML and DDL statementsnononoSQL-like query language
APIs and other access methodsJDBC
ODBC
AQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
C++ API
Thrift
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
Actionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C++
Java
Perl
PHP
Python
Ruby
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJavaScriptyesnoJavaScript
Triggersnonoyes infovia eventsnoJavaScript
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infosince version 2.0noneShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication with configurable replication factornoneselectable replication factor on file system levelyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno infocan be done with stored procedures in JavaScriptnoyeswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
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)
Immediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDmultiple readers, single writernoMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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 KerberosyesUsers with fine-grained authorization concept on 4 levelsnoAccess rights can be defined down to the item level
More information provided by the system vendor
Apache ImpalaArangoDBBaseXHypertableMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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 ImpalaArangoDBBaseXHypertableMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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