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DBMS > Blueflood vs. Databricks vs. etcd vs. FoundationDB

System Properties Comparison Blueflood vs. Databricks vs. etcd vs. FoundationDB

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonDatabricks  Xexclude from comparisonetcd  Xexclude from comparisonFoundationDB  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
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.A distributed reliable key-value storeOrdered key-value store. Core features are complimented by layers.
Primary database modelTime Series DBMSDocument store
Relational DBMS
Key-value storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
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
Score7.03
Rank#54  Overall
#5  Key-value stores
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Websiteblueflood.iowww.databricks.cometcd.io
github.com/­etcd-io/­etcd
github.com/­apple/­foundationdb
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidocs.databricks.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
apple.github.io/­foundationdb
DeveloperRackspaceDatabricksFoundationDB
Initial release201320132013
Current release3.4, August 20196.2.28, November 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC++
Server operating systemsLinux
OS X
hostedFreeBSD
Linux
Windows infoexperimental
Linux
OS X
Windows
Data schemepredefined schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free infosome layers support schemas
Typing infopredefined data types such as float or dateyesnono infosome layers support typing
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
Secondary indexesnoyesnono
SQL infoSupport of SQLnowith Databricks SQLnosupported in specific SQL layer only
APIs and other access methodsHTTP RESTJDBC
ODBC
RESTful HTTP API
gRPC
JSON over HTTP
Supported programming languagesPython
R
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnoin SQL-layer only
Triggersnoyes, watching key changesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandrayesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyLinearizable consistency
Foreign keys infoReferential integritynonoin SQL-layer only
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnonono
More information provided by the system vendor
BluefloodDatabricksetcdFoundationDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BluefloodDatabricksetcdFoundationDB
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