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DBMS > Coveo vs. GridGain vs. RRDtool vs. Sadas Engine

System Properties Comparison Coveo vs. GridGain vs. RRDtool vs. Sadas Engine

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonGridGain  Xexclude from comparisonRRDtool  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentGridGain is an in-memory computing platform, built on Apache IgniteIndustry 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.SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelSearch engineKey-value store
Relational DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#118  Overall
#11  Search engines
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websitewww.coveo.comwww.gridgain.comoss.oetiker.ch/­rrdtoolwww.sadasengine.com
Technical documentationdocs.coveo.comwww.gridgain.com/­docs/­index.htmloss.oetiker.ch/­rrdtool/­docwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperCoveoGridGain Systems, Inc.Tobias OetikerSADAS s.r.l.
Initial release2012200719992006
Current releaseGridGain 8.5.11.8.0, 20228.0
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL V2 and FLOSScommercial infofree trial version available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC infoImplementations in Java (e.g. RRD4J) and C# availableC++
Server operating systemshostedLinux
OS X
Solaris
Windows
HP-UX
Linux
AIX
Linux
Windows
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes
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.noyesno infoExporting into and restoring from XML files possibleno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLnoyes
APIs and other access methodsRESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
in-process shared library
Pipes
JDBC
ODBC
Proprietary protocol
Supported programming languagesC#
Java
JavaScript
Python
C#
C++
Java
PHP
Python
Ruby
Scala
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
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)nono
Triggersyesyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesyesShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoby using the rrdcached daemonyes
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.yesyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlgranular access controls, API key management, content filtersSecurity Hooks for custom implementationsnoAccess rights for users, groups and roles according to SQL-standard

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More resources
CoveoGridGainRRDtoolSadas Engine
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