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DBMS > Databend vs. GigaSpaces vs. RRDtool vs. Splice Machine

System Properties Comparison Databend vs. GigaSpaces vs. RRDtool vs. Splice Machine

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonGigaSpaces  Xexclude from comparisonRRDtool  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsIndustry 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.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSRelational DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.gigaspaces.comoss.oetiker.ch/­rrdtoolsplicemachine.com
Technical documentationdocs.databend.comdocs.gigaspaces.com/­latest/­landing.htmloss.oetiker.ch/­rrdtool/­docsplicemachine.com/­how-it-works
DeveloperDatabend LabsGigaspaces TechnologiesTobias OetikerSplice Machine
Initial release2021200019992014
Current release1.0.59, April 202315.5, September 20201.8.0, 20223.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; Commercial licenses availableOpen Source infoGPL V2 and FLOSSOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustJava, C++, .NetC infoImplementations in Java (e.g. RRD4J) and C# availableJava
Server operating systemshosted
Linux
macOS
Linux
macOS
Solaris
Windows
HP-UX
Linux
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyesyes
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.nono infoXML can be used for describing objects metadatano infoExporting into and restoring from XML files possible
Secondary indexesnoyesnoyes
SQL infoSupport of SQLyesSQL-99 for query and DML statementsnoyes
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
in-process shared library
Pipes
JDBC
Native Spark Datasource
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
.Net
C++
Java
Python
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
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyesnoyes infoJava
Triggersnoyes, event driven architecturenoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYnoneImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoby using the rrdcached daemonyes, multi-version concurrency control (MVCC)
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
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesRole-based access controlnoAccess rights for users, groups and roles according to SQL-standard

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More resources
DatabendGigaSpacesRRDtoolSplice Machine
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