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DBMS > Blueflood vs. etcd vs. Fujitsu Enterprise Postgres vs. IRONdb

System Properties Comparison Blueflood vs. etcd vs. Fujitsu Enterprise Postgres vs. IRONdb

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonetcd  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonIRONdb  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionScalable TimeSeries DBMS based on CassandraA distributed reliable key-value storeEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity
Primary database modelTime Series DBMSKey-value storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score7.03
Rank#54  Overall
#5  Key-value stores
Score0.37
Rank#278  Overall
#128  Relational DBMS
Websiteblueflood.ioetcd.io
github.com/­etcd-io/­etcd
www.postgresql.fastware.comwww.circonus.com/solutions/time-series-database/
Technical documentationgithub.com/­rax-maas/­blueflood/­wikietcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.postgresql.fastware.com/­product-manualsdocs.circonus.com/irondb/category/getting-started
DeveloperRackspacePostgreSQL Global Development Group, Fujitsu Australia Software TechnologyCirconus LLC.
Initial release20132017
Current release3.4, August 2019Fujitsu Enterprise Postgres 14, January 2022V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoCC and C++
Server operating systemsLinux
OS X
FreeBSD
Linux
Windows infoexperimental
Linux
Windows
Linux
Data schemepredefined schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyes infotext, numeric, histograms
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.nonono
Secondary indexesnonoyesno
SQL infoSupport of SQLnonoyesSQL-like query language (Circonus Analytics Query Language: CAQL)
APIs and other access methodsHTTP RESTgRPC
JSON over HTTP
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnonouser defined functionsyes, in Lua
Triggersnoyes, watching key changesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrapartitioning by range, list and by hashAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Source-replica replicationconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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 controlnonofine grained access rights according to SQL-standardno

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More resources
BluefloodetcdFujitsu Enterprise PostgresIRONdb
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