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DBMS > Blueflood vs. Fujitsu Enterprise Postgres vs. Realm vs. SAP SQL Anywhere vs. Spark SQL

System Properties Comparison Blueflood vs. Fujitsu Enterprise Postgres vs. Realm vs. SAP SQL Anywhere vs. Spark SQL

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonRealm  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSRelational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiteblueflood.iowww.postgresql.fastware.comrealm.iowww.sap.com/­products/­technology-platform/­sql-anywhere.htmlspark.apache.org/­sql
Technical documentationgithub.com/­rax-maas/­blueflood/­wikiwww.postgresql.fastware.com/­product-manualsrealm.io/­docshelp.sap.com/­docs/­SAP_SQL_Anywherespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperRackspacePostgreSQL Global Development Group, Fujitsu Australia Software TechnologyRealm, acquired by MongoDB in May 2019SAP infoformerly SybaseApache Software Foundation
Initial release2013201419922014
Current releaseFujitsu Enterprise Postgres 14, January 202217, July 20153.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCScala
Server operating systemsLinux
OS X
Linux
Windows
Android
Backend: server-less
iOS
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemepredefined schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesno
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnoyesnoyesSQL-like DML and DDL statements
APIs and other access methodsHTTP RESTADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
HTTP API
JDBC
ODBC
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Java infowith Android only
Objective-C
React Native
Swift
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functionsno inforuns within the applications so server-side scripts are unnecessaryyes, in C/C++, Java, .Net or Perlno
Triggersnoyesyes infoChange Listenersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrapartitioning by range, list and by hashnonenoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationnoneSource-replica replication infoDatabase mirroringnone
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
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoIn-Memory realmyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standardno
More information provided by the system vendor
BluefloodFujitsu Enterprise PostgresRealmSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSpark SQL
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
BluefloodFujitsu Enterprise PostgresRealmSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSpark SQL
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