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DBMS > Cachelot.io vs. Databricks vs. GigaSpaces

System Properties Comparison Cachelot.io vs. Databricks vs. GigaSpaces

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Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonDatabricks  Xexclude from comparisonGigaSpaces  Xexclude from comparison
DescriptionIn-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.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented Transactions
Primary database modelKey-value storeDocument store
Relational DBMS
Document store
Object oriented DBMS infoValues are user defined objects
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#388  Overall
#62  Key-value stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Websitecachelot.iowww.databricks.comwww.gigaspaces.com
Technical documentationdocs.databricks.comdocs.gigaspaces.com/­latest/­landing.html
DeveloperDatabricksGigaspaces Technologies
Initial release201520132000
Current release15.5, September 2020
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicensecommercialOpen Source infoApache Version 2; Commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, C++, .Net
Server operating systemsFreeBSD
Linux
OS X
hostedLinux
macOS
Solaris
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or datenoyes
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.noyesno infoXML can be used for describing objects metadata
Secondary indexesnoyesyes
SQL infoSupport of SQLnowith Databricks SQLSQL-99 for query and DML statements
APIs and other access methodsMemcached protocolJDBC
ODBC
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
Python
R
Scala
.Net
C++
Java
Python
Scala
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyes
Triggersnoyes, event driven architecture
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executors
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnoRole-based access control
More information provided by the system vendor
Cachelot.ioDatabricksGigaSpaces
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Cachelot.ioDatabricksGigaSpaces
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