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DBMS > Graphite vs. Sadas Engine vs. VelocityDB vs. YottaDB

System Properties Comparison Graphite vs. Sadas Engine vs. VelocityDB vs. YottaDB

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Editorial information provided by DB-Engines
NameGraphite  Xexclude from comparisonSadas Engine  Xexclude from comparisonVelocityDB  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)A fast and solid embedded Key-value store
Primary database modelTime Series DBMSRelational DBMSGraph DBMS
Object oriented DBMS
Key-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Score0.20
Rank#317  Overall
#47  Key-value stores
Websitegithub.com/­graphite-project/­graphite-webwww.sadasengine.comvelocitydb.comyottadb.com
Technical documentationgraphite.readthedocs.iowww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationvelocitydb.com/­UserGuideyottadb.com/­resources/­documentation
DeveloperChris DavisSADAS s.r.l.VelocityDB IncYottaDB, LLC
Initial release2006200620112001
Current release8.07.x
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree trial version availablecommercialOpen Source infoAGPL 3.0
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 languagePythonC++C#C
Server operating systemsLinux
Unix
AIX
Linux
Windows
Any that supports .NETDocker
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateNumeric data onlyyesyesno
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.nononono
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoyesnoby using the Octo plugin
APIs and other access methodsHTTP API
Sockets
JDBC
ODBC
Proprietary protocol
.NetPostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesJavaScript (Node.js)
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
.NetC
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnonono
TriggersnonoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes infolockingyesyes
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.yes infomanaged by 'Learn by Usage'yesyes
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardBased on Windows AuthenticationUsers and groups based on OS-security mechanisms

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More resources
GraphiteSadas EngineVelocityDBYottaDB
DB-Engines blog posts

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Recent citations in the news

Try out the Graphite monitoring tool for time-series data
29 October 2019, TechTarget

Grafana Labs Announces Mimir Time Series Database
1 April 2022, Datanami

The Billion Data Point Challenge: Building a Query Engine for High Cardinality Time Series Data
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provided by Google News



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