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DBMS > Firebolt vs. Fujitsu Enterprise Postgres vs. RavenDB vs. Sphinx

System Properties Comparison Firebolt vs. Fujitsu Enterprise Postgres vs. RavenDB vs. Sphinx

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Editorial information provided by DB-Engines
NameFirebolt  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonRavenDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Open Source Operational and Transactional Enterprise NoSQL Document DatabaseOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSDocument storeSearch engine
Secondary database modelsDocument store
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.firebolt.iowww.postgresql.fastware.comravendb.netsphinxsearch.com
Technical documentationdocs.firebolt.iowww.postgresql.fastware.com/­product-manualsravendb.net/­docssphinxsearch.com/­docs
DeveloperFirebolt Analytics Inc.PostgreSQL Global Development Group, Fujitsu Australia Software TechnologyHibernating RhinosSphinx Technologies Inc.
Initial release202020102001
Current releaseFujitsu Enterprise Postgres 14, January 20225.4, July 20223.5.1, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL version 3, commercial license availableOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC#C++
Server operating systemshostedLinux
Windows
Linux
macOS
Raspberry Pi
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnono
Secondary indexesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesyesSQL-like query language (RQL)SQL-like query language (SphinxQL)
APIs and other access methods.Net
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Proprietary protocol
Supported programming languagesGo
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnouser defined functionsyesno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerSource-replica replicationMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID, Cluster-wide transaction availableno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
User concepts infoAccess controlfine grained access rights according to SQL-standardAuthorization levels configured per client per databaseno
More information provided by the system vendor
FireboltFujitsu Enterprise PostgresRavenDBSphinx
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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FireboltFujitsu Enterprise PostgresRavenDBSphinx
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