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DBMS > RavenDB vs. ReductStore vs. Splunk vs. Tibero

System Properties Comparison RavenDB vs. ReductStore vs. Splunk vs. Tibero

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Editorial information provided by DB-Engines
NameRavenDB  Xexclude from comparisonReductStore  Xexclude from comparisonSplunk  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.Analytics Platform for Big DataA secure RDBMS, designed for easy portability from Oracle
Primary database modelDocument storeTime Series DBMSSearch engineRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.92
Rank#101  Overall
#18  Document stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score86.45
Rank#14  Overall
#2  Search engines
Score1.78
Rank#140  Overall
#64  Relational DBMS
Websiteravendb.netgithub.com/­reductstore
www.reduct.store
www.splunk.comus.tmaxsoft.com/­products/­tibero
Technical documentationravendb.net/­docswww.reduct.store/­docsdocs.splunk.com/­Documentation/­Splunktechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperHibernating RhinosReductStore LLCSplunk Inc.TmaxSoft
Initial release2010202320032003
Current release5.4, July 20221.9, March 20246, April 2015
License infoCommercial or Open SourceOpen Source infoAGPL version 3, commercial license availableOpen Source infoBusiness Source License 1.1commercial infoLimited free edition and free developer edition availablecommercial
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 languageC#C++, RustC and Assembler
Server operating systemsLinux
macOS
Raspberry Pi
Windows
Docker
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes
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.yesyes
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query language (RQL)no infoSplunk Search Processing Language for search commandsyes
APIs and other access methods.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
HTTP APIHTTP RESTJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languages.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
JavaScript (Node.js)
Python
Rust
C#
Java
JavaScript
PHP
Python
Ruby
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresyesyesPersistent Stored Procedure (PSM)
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID, Cluster-wide transaction availableno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono infoplanned for next version
User concepts infoAccess controlAuthorization levels configured per client per databaseAccess rights for users and rolesfine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
RavenDBReductStoreSplunkTibero
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