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DBMS > AntDB vs. BigObject vs. Cachelot.io vs. Datastax Enterprise

System Properties Comparison AntDB vs. BigObject vs. Cachelot.io vs. Datastax Enterprise

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Editorial information provided by DB-Engines
NameAntDB  Xexclude from comparisonBigObject  Xexclude from comparisonCachelot.io  Xexclude from comparisonDatastax Enterprise  Xexclude from comparison
DescriptionA scalable, multi-tenant, MPP-architectured RDBMS for OLTP and OLAP operations, highly compatible with OracleAnalytic DBMS for real-time computations and queriesIn-memory caching systemDataStax 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.
Primary database modelRelational DBMSRelational DBMS infoa hierachical model (tree) can be imposedKey-value storeWide column store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#303  Overall
#137  Relational DBMS
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score5.80
Rank#60  Overall
#4  Wide column stores
Websitewww.asiainfo.com/­en_us/­product_aisware_antdb_detail.htmlbigobject.iocachelot.iowww.datastax.com/­products/­datastax-enterprise
Technical documentationdocs.bigobject.iodocs.datastax.com
DeveloperAsiaInfo Technologies LimitedBigObject, Inc.DataStax
Initial release201520152011
Current release6.8, April 2020
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infoSimplified BSD Licensecommercial
Cloud-based only infoOnly available as a cloud servicenononono
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 languageC++Java
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
FreeBSD
Linux
OS X
Linux
OS X
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
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.nonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL2016 compliantSQL-like DML and DDL statementsnoSQL-like DML and DDL statements (CQL); Spark SQL
APIs and other access methodsJDBC
MySQL protocol compliant
ODBC
fluentd
ODBC
RESTful HTTP API
Memcached protocolProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresLuanono
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneconfigurable replication factor, datacenter aware, advanced replication for edge computing
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynonenoneImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Foreign keys infoReferential integrityyesyes infoautomatically between fact table and dimension tablesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes
Durability infoSupport for making data persistentyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlnonoAccess rights for users can be defined per object
More information provided by the system vendor
AntDBBigObjectCachelot.ioDatastax Enterprise
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
AntDBBigObjectCachelot.ioDatastax Enterprise
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