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DBMS > Apache Cassandra vs. ArangoDB vs. GigaSpaces

System Properties Comparison Apache Cassandra vs. ArangoDB vs. GigaSpaces

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Editorial information provided by DB-Engines
NameApache Cassandra  Xexclude from comparisonArangoDB  Xexclude from comparisonGigaSpaces  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented Transactions
Primary database modelWide column storeDocument store
Graph DBMS
Key-value store
Search engine
Document store
Object oriented DBMS infoValues are user defined objects
Secondary database modelsVector DBMS infostarting with release V5Graph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score108.05
Rank#11  Overall
#1  Wide column stores
Score2.85
Rank#88  Overall
#14  Document stores
#4  Graph DBMS
#13  Key-value stores
#9  Search engines
Score1.14
Rank#169  Overall
#27  Document stores
#6  Object oriented DBMS
Websitecassandra.apache.orgarangodb.comwww.gigaspaces.com
Technical documentationcassandra.apache.org/­doc/­latestdocs.arangodb.comdocs.gigaspaces.com/­latest/­landing.html
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookArangoDB Inc.Gigaspaces Technologies
Initial release200820122000
Current release5.0-rc1, July 20243.11.5, November 202315.5, September 2020
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoApache Version 2; Commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java, C++, .Net
Server operating systemsBSD
Linux
OS X
Windows
Linux
OS X
Windows
Linux
macOS
Solaris
Windows
Data schemeschema-freeschema-free infoautomatically recognizes schema within a collectionschema-free
Typing infopredefined data types such as float or dateyesyes infostring, double, boolean, list, hashyes
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 infoXML can be used for describing objects metadata
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionyesyes
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)noSQL-99 for query and DML statements
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
AQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
.Net
C++
Java
Python
Scala
Server-side scripts infoStored proceduresnoJavaScriptyes
Triggersyesnoyes, event driven architecture
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Sharding infosince version 2.0Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleSource-replica replication with configurable replication factorMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infocan be done with stored procedures in JavaScriptyes infoMap-Reduce pattern can be built with XAP task executors
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integritynoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users can be defined per objectyesRole-based access control
More information provided by the system vendor
Apache CassandraArangoDBGigaSpaces
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More resources
Apache CassandraArangoDBGigaSpaces
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