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DBMS > AlaSQL vs. GridGain vs. RRDtool vs. Stardog

System Properties Comparison AlaSQL vs. GridGain vs. RRDtool vs. Stardog

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonGridGain  Xexclude from comparisonRRDtool  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionJavaScript DBMS libraryGridGain 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.Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelDocument store
Relational DBMS
Key-value store
Relational DBMS
Time Series DBMSGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitealasql.orgwww.gridgain.comoss.oetiker.ch/­rrdtoolwww.stardog.com
Technical documentationgithub.com/­AlaSQL/­alasqlwww.gridgain.com/­docs/­index.htmloss.oetiker.ch/­rrdtool/­docdocs.stardog.com
DeveloperAndrey Gershun & Mathias R. WulffGridGain Systems, Inc.Tobias OetikerStardog-Union
Initial release2014200719992010
Current releaseGridGain 8.5.11.8.0, 20227.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoGPL V2 and FLOSScommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJava, C++, .NetC infoImplementations in Java (e.g. RRD4J) and C# availableJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Solaris
Windows
HP-UX
Linux
Linux
macOS
Windows
Data schemeschema-freeyesyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or datenoyesNumeric 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 infoImport/export of XML data possible
Secondary indexesnoyesnoyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.ANSI-99 for query and DML statements, subset of DDLnoYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsJavaScript APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
in-process shared library
Pipes
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesJavaScriptC#
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
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)nouser defined functions and aggregates, HTTP Server extensions in Java
Triggersyesyes (cache interceptors and events)noyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes (replicated cache)noneMulti-source replication in HA-Cluster
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 systemnoneImmediate ConsistencynoneImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyesnonoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoby using the rrdcached daemonyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlnoSecurity Hooks for custom implementationsnoAccess rights for users and roles

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More resources
AlaSQLGridGainRRDtoolStardog
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