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DBMS > Blueflood vs. OpenEdge vs. Vertica vs. VoltDB

System Properties Comparison Blueflood vs. OpenEdge vs. Vertica vs. VoltDB

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonOpenEdge  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraApplication development environment with integrated database management systemCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.Distributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelTime Series DBMSRelational DBMSRelational DBMS infoColumn orientedRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#352  Overall
#36  Time Series DBMS
Score3.69
Rank#78  Overall
#42  Relational DBMS
Score9.62
Rank#42  Overall
#26  Relational DBMS
Score1.38
Rank#156  Overall
#72  Relational DBMS
Websiteblueflood.iowww.progress.com/­openedgewww.vertica.comwww.voltdb.com
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidocumentation.progress.com/­output/­ua/­OpenEdge_latestvertica.com/­documentationdocs.voltdb.com
DeveloperRackspaceProgress Software CorporationOpenText infopreviously Micro Focus and Hewlett PackardVoltDB Inc.
Initial release2013198420052010
Current releaseOpenEdge 12.2, March 202012.0.3, January 202311.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infoLimited community edition freeOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenonono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containersno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java, C++
Server operating systemsLinux
OS X
AIX
HP-UX
Linux
Solaris
Windows
LinuxLinux
OS X infofor development
Data schemepredefined schemeyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.yes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesnoyesNo Indexes Required. Different internal optimization strategy, but same functionality included.yes
SQL infoSupport of SQLnoyes infoclose to SQL 92Full 1999 standard plus machine learning, time series and geospatial. Over 650 functions.yes infoonly a subset of SQL 99
APIs and other access methodsHTTP RESTJDBC
ODBC
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesProgress proprietary ABL (Advanced Business Language)C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnoyesyes, PostgreSQL PL/pgSQL, with minor differencesJava
Triggersnoyesyes, called Custom Alertsno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrahorizontal partitioning infosince Version 11.4horizontal partitioning, hierarchical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infoBi-directional Spark integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnoUsers and groupsfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hashUsers and roles with access to stored procedures

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More resources
BluefloodOpenEdgeVertica infoOpenText™ Vertica™VoltDB
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