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DBMS > BigObject vs. Cachelot.io vs. Databricks vs. FoundationDB vs. Hyprcubd

System Properties Comparison BigObject vs. Cachelot.io vs. Databricks vs. FoundationDB vs. Hyprcubd

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonCachelot.io  Xexclude from comparisonDatabricks  Xexclude from comparisonFoundationDB  Xexclude from comparisonHyprcubd  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionAnalytic DBMS for real-time computations and queriesIn-memory caching systemThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Ordered key-value store. Core features are complimented by layers.Serverless Time Series DBMS
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedKey-value storeDocument store
Relational DBMS
Document store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Websitebigobject.iocachelot.iowww.databricks.comgithub.com/­apple/­foundationdbhyprcubd.com (offline)
Technical documentationdocs.bigobject.iodocs.databricks.comapple.github.io/­foundationdb
DeveloperBigObject, Inc.DatabricksFoundationDBHyprcubd, Inc.
Initial release2015201520132013
Current release6.2.28, November 2020
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoSimplified BSD LicensecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++Go
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
hostedLinux
OS X
Windows
hosted
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free infosome layers support schemasyes
Typing infopredefined data types such as float or dateyesnono infosome layers support typingyes infotime, int, uint, float, string
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.nonoyesno
Secondary indexesyesnoyesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsnowith Databricks SQLsupported in specific SQL layer onlySQL-like query language
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
Memcached protocolJDBC
ODBC
RESTful HTTP API
gRPC (https)
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
Python
R
Scala
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Server-side scripts infoStored proceduresLuanouser defined functions and aggregatesin SQL-layer onlyno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenoneImmediate ConsistencyLinearizable consistencyEventual Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnoin SQL-layer onlyno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyesno
Durability infoSupport for making data persistentyesnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlnononotoken access
More information provided by the system vendor
BigObjectCachelot.ioDatabricksFoundationDBHyprcubd
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
BigObjectCachelot.ioDatabricksFoundationDBHyprcubd
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