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DBMS > Amazon CloudSearch vs. ArangoDB vs. EXASOL vs. HBase

System Properties Comparison Amazon CloudSearch vs. ArangoDB vs. EXASOL vs. HBase

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonArangoDB  Xexclude from comparisonEXASOL  Xexclude from comparisonHBase  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.High-performance, in-memory, MPP database specifically designed for in-memory analytics.Wide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelSearch engineDocument store
Graph DBMS
Key-value store
Search engine
Relational DBMSWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score3.26
Rank#88  Overall
#15  Document stores
#5  Graph DBMS
#12  Key-value stores
#10  Search engines
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Websiteaws.amazon.com/­cloudsearcharangodb.comwww.exasol.comhbase.apache.org
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.arangodb.comwww.exasol.com/­resourceshbase.apache.org/­book.html
Social network pagesLinkedInTwitterYouTubeFacebookInstagram
DeveloperAmazonArangoDB Inc.ExasolApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release2012201220002008
Current release3.11.5, November 20232.3.4, January 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial license (Enterprise) availablecommercialOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemshostedLinux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
Data schemeyesschema-free infoautomatically recognizes schema within a collectionyesschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesyes infostring, double, boolean, list, hashyesoptions to bring your own types, AVRO
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 indexesyes infoall search fields are automatically indexedyesyesno
SQL infoSupport of SQLnonoyesno
APIs and other access methodsHTTP APIAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
.Net
JDBC
ODBC
WebSocket
Java API
RESTful HTTP API
Thrift
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
Java
Lua
Python
R
C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresnoJavaScriptuser defined functionsyes infoCoprocessors in Java
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infosince version 2.0ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSSource-replica replication with configurable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan be done with stored procedures in JavaScriptyes infoHadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Immediate ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDSingle row ACID (across millions of columns)
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlauthentication via encrypted signaturesyesAccess rights for users, groups and roles according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC
More information provided by the system vendor
Amazon CloudSearchArangoDBEXASOLHBase
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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Amazon CloudSearchArangoDBEXASOLHBase
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