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DBMS > BoltDB vs. Fujitsu Enterprise Postgres vs. Qdrant vs. VictoriaMetrics

System Properties Comparison BoltDB vs. Fujitsu Enterprise Postgres vs. Qdrant vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonQdrant  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.A high-performance vector database with neural network or semantic-based matchingA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelKey-value storeRelational DBMSVector DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitegithub.com/­boltdb/­boltwww.postgresql.fastware.comgithub.com/­qdrant/­qdrant
qdrant.tech
victoriametrics.com
Technical documentationwww.postgresql.fastware.com/­product-manualsqdrant.tech/­documentationdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyQdrantVictoriaMetrics
Initial release201320212018
Current releaseFujitsu Enterprise Postgres 14, January 2022v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
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 languageGoCRustGo
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
Windows
Docker
Linux
macOS
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesNumbers, Strings, Geo, Boolean
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 indexesnoyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLnoyesnono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesGo.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonepartitioning by range, list and by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationCollection-level replicationSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency, tunable consistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.noyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardKey-based authentication
More information provided by the system vendor
BoltDBFujitsu Enterprise PostgresQdrantVictoriaMetrics
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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BoltDBFujitsu Enterprise PostgresQdrantVictoriaMetrics
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