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

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

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHarperDB  Xexclude from comparisonRRDtool  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteHarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.Industry 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 modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Document storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score0.55
Rank#243  Overall
#38  Document stores
Score1.70
Rank#136  Overall
#11  Time Series DBMS
Score0.00
Rank#385  Overall
#159  Relational DBMS
Websitewww.gridgain.comwww.harperdb.iooss.oetiker.ch/­rrdtoolwww.sadasengine.com
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.harperdb.io/­docsoss.oetiker.ch/­rrdtool/­docwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperGridGain Systems, Inc.HarperDBTobias OetikerSADAS s.r.l.
Initial release2007201719992006
Current releaseGridGain 8.5.13.1, August 20211.8.0, 20228.0
License infoCommercial or Open Sourcecommercial, open sourcecommercial infofree community edition availableOpen Source infoGPL V2 and FLOSScommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .Net, Python, REST, SQLNode.jsC infoImplementations in Java (e.g. RRD4J) and C# availableC++
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
Linux
OS X
HP-UX
Linux
AIX
Linux
Windows
Data schemeyesdynamic schemayesyes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesNumeric 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.yesnono infoExporting into and restoring from XML files possibleno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like data manipulation statementsnoyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
in-process shared library
Pipes
JDBC
ODBC
Proprietary protocol
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
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 proceduresyes (compute grid and cache interceptors can be used instead)Custom Functions infosince release 3.1nono
Triggersyes (cache interceptors and events)nonono
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusternonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infothe nodes on which a table resides can be definednonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoby using the rrdcached daemonyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
Access rights for users and rolesnoAccess rights for users, groups and roles according to SQL-standard

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More resources
GridGainHarperDBRRDtoolSadas Engine
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