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DBMS > Blueflood vs. Databricks vs. etcd vs. YugabyteDB

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

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonDatabricks  Xexclude from comparisonetcd  Xexclude from comparisonYugabyteDB  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.A distributed reliable key-value storeHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelTime Series DBMSDocument store
Relational DBMS
Key-value storeRelational DBMS
Secondary database modelsDocument store
Wide column store
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
Score2.63
Rank#109  Overall
#53  Relational DBMS
Websiteblueflood.iowww.databricks.cometcd.io
github.com/­etcd-io/­etcd
www.yugabyte.com
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidocs.databricks.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperRackspaceDatabricksYugabyte Inc.
Initial release201320132017
Current release3.4, August 20192.19, September 2023
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

Providers of DBaaS offerings, please contact us to be listed.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageJavaGoC and C++
Server operating systemsLinux
OS X
hostedFreeBSD
Linux
Windows infoexperimental
Linux
OS X
Data schemepredefined schemeFlexible Schema (defined schema, partial schema, schema free)schema-freedepending on used data model
Typing infopredefined data types such as float or dateyesnoyes
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.noyesnono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnowith Databricks SQLnoyes, PostgreSQL compatible
APIs and other access methodsHTTP RESTJDBC
ODBC
RESTful HTTP API
gRPC
JSON over HTTP
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesPython
R
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnoyes infosql, plpgsql, C
Triggersnoyes, watching key changesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraHash and Range Sharding, row-level geo-partitioning
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.Based on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
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 ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlnonoyes
More information provided by the system vendor
BluefloodDatabricksetcdYugabyteDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
YugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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BluefloodDatabricksetcdYugabyteDB
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