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DBMS > LevelDB vs. NSDb vs. OpenEdge vs. VictoriaMetrics

System Properties Comparison LevelDB vs. NSDb vs. OpenEdge vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonNSDb  Xexclude from comparisonOpenEdge  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesApplication development environment with integrated database management systemA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelKey-value storeTime Series DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitegithub.com/­google/­leveldbnsdb.iowww.progress.com/­openedgevictoriametrics.com
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdnsdb.io/­Architecturedocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperGoogleProgress Software CorporationVictoriaMetrics
Initial release2011201719842018
Current release1.23, February 2021OpenEdge 12.2, March 2020v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoApache Version 2.0commercialOpen 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 languageC++Java, ScalaGo
Server operating systemsIllumos
Linux
OS X
Windows
Linux
macOS
AIX
HP-UX
Linux
Solaris
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeyes
Typing infopredefined data types such as float or datenoyes: int, bigint, decimal, stringyes
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 indexesnoall fields are automatically indexedyes
SQL infoSupport of SQLnoSQL-like query languageyes infoclose to SQL 92no
APIs and other access methodsgRPC
HTTP REST
WebSocket
JDBC
ODBC
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Java
Scala
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresnonoyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning infosince Version 11.4
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnoUsers and groups

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More resources
LevelDBNSDbOpenEdgeVictoriaMetrics
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