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DBMS > BigObject vs. Datastax Enterprise vs. Elasticsearch vs. GigaSpaces vs. SiteWhere

System Properties Comparison BigObject vs. Datastax Enterprise vs. Elasticsearch vs. GigaSpaces vs. SiteWhere

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonElasticsearch  Xexclude from comparisonGigaSpaces  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.A distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedWide column storeSearch engineDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Document store
Spatial DBMS
Vector DBMS
Graph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score5.80
Rank#60  Overall
#4  Wide column stores
Score135.35
Rank#7  Overall
#1  Search engines
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitebigobject.iowww.datastax.com/­products/­datastax-enterprisewww.elastic.co/­elasticsearchwww.gigaspaces.comgithub.com/­sitewhere/­sitewhere
Technical documentationdocs.bigobject.iodocs.datastax.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.gigaspaces.com/­latest/­landing.htmlsitewhere1.sitewhere.io/­index.html
DeveloperBigObject, Inc.DataStaxElasticGigaspaces TechnologiesSiteWhere
Initial release20152011201020002010
Current release6.8, April 20208.6, January 202315.5, September 2020
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen Source infoElastic LicenseOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoCommon Public Attribution License Version 1.0
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.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaJavaJava, C++, .NetJava
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X
All OS with a Java VMLinux
macOS
Solaris
Windows
Linux
OS X
Windows
Data schemeyesschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononono infoXML can be used for describing objects metadatano
Secondary indexesyesyesyes infoAll search fields are automatically indexedyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like DML and DDL statements (CQL); Spark SQLSQL-like query languageSQL-99 for query and DML statementsno
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Java API
RESTful HTTP/JSON API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HTTP REST
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C++
Java
Python
Scala
Server-side scripts infoStored proceduresLuanoyesyes
Triggersnoyesyes infoby using the 'percolation' featureyes, event driven architecture
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infono "single point of failure"ShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneconfigurable replication factor, datacenter aware, advanced replication for edge computingyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesES-Hadoop Connectoryes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyesyes
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.yesyesMemcached and Redis integrationyesno
User concepts infoAccess controlnoAccess rights for users can be defined per objectRole-based access controlUsers with fine-grained authorization concept
More information provided by the system vendor
BigObjectDatastax EnterpriseElasticsearchGigaSpacesSiteWhere
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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BigObjectDatastax EnterpriseElasticsearchGigaSpacesSiteWhere
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