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DBMS > GreptimeDB vs. LevelDB vs. RRDtool vs. Sqrrl vs. Tkrzw

System Properties Comparison GreptimeDB vs. LevelDB vs. RRDtool vs. Sqrrl vs. Tkrzw

Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonLevelDB  Xexclude from comparisonRRDtool  Xexclude from comparisonSqrrl  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.Adaptable, secure NoSQL built on Apache AccumuloA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelTime Series DBMSKey-value storeTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitegreptime.comgithub.com/­google/­leveldboss.oetiker.ch/­rrdtoolsqrrl.comdbmx.net/­tkrzw
Technical documentationdocs.greptime.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdoss.oetiker.ch/­rrdtool/­doc
DeveloperGreptime Inc.GoogleTobias OetikerAmazon infooriginally Sqrrl Data, Inc.Mikio Hirabayashi
Initial release20222011199920122020
Current release1.23, February 20211.8.0, 20220.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSDOpen Source infoGPL V2 and FLOSScommercialOpen Source infoApache Version 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 languageRustC++C infoImplementations in Java (e.g. RRD4J) and C# availableJavaC++
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
Illumos
Linux
OS X
Windows
HP-UX
Linux
LinuxLinux
macOS
Data schemeschema-free, schema definition possibleschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoNumeric data onlyyesno
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 infoExporting into and restoring from XML files possibleno
Secondary indexesyesnonoyes
SQL infoSupport of SQLyesnononono
APIs and other access methodsgRPC
HTTP API
JDBC
in-process shared library
Pipes
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC++
Erlang
Go
Java
JavaScript
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresPythonnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding infomaking use of Hadoopnone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneselectable replication factor infomaking use of Hadoopnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoby using the rrdcached daemonyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing specific database classes
User concepts infoAccess controlSimple rights management via user accountsnonoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)no
More information provided by the system vendor
GreptimeDBLevelDBRRDtoolSqrrlTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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GreptimeDBLevelDBRRDtoolSqrrlTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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