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DBMS > Blueflood vs. Databricks vs. GigaSpaces vs. PouchDB

System Properties Comparison Blueflood vs. Databricks vs. GigaSpaces vs. PouchDB

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonDatabricks  Xexclude from comparisonGigaSpaces  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraThe 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 TransactionsJavaScript DBMS with an API inspired by CouchDB
Primary database modelTime Series DBMSDocument store
Relational DBMS
Document store
Object oriented DBMS infoValues are user defined objects
Document store
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websiteblueflood.iowww.databricks.comwww.gigaspaces.compouchdb.com
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidocs.databricks.comdocs.gigaspaces.com/­latest/­landing.htmlpouchdb.com/­guides
DeveloperRackspaceDatabricksGigaspaces TechnologiesApache Software Foundation
Initial release2013201320002012
Current release15.5, September 20207.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetJavaScript
Server operating systemsLinux
OS X
hostedLinux
macOS
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemepredefined schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free
Typing infopredefined data types such as float or dateyesyesno
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 metadatano
Secondary indexesnoyesyesyes infovia views
SQL infoSupport of SQLnowith Databricks SQLSQL-99 for query and DML statementsno
APIs and other access methodsHTTP RESTJDBC
ODBC
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesPython
R
Scala
.Net
C++
Java
Python
Scala
JavaScript
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyesView functions in JavaScript
Triggersnoyes, event driven architectureyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandrayesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlnoRole-based access controlno
More information provided by the system vendor
BluefloodDatabricksGigaSpacesPouchDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BluefloodDatabricksGigaSpacesPouchDB
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