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DBMS > Databend vs. Hazelcast vs. Hyprcubd vs. Ingres vs. Splunk

System Properties Comparison Databend vs. Hazelcast vs. Hyprcubd vs. Ingres vs. Splunk

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonHazelcast  Xexclude from comparisonHyprcubd  Xexclude from comparisonIngres  Xexclude from comparisonSplunk  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA widely adopted in-memory data gridServerless Time Series DBMSWell established RDBMSAnalytics Platform for Big Data
Primary database modelRelational DBMSKey-value storeTime Series DBMSRelational DBMSSearch engine
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score89.10
Rank#14  Overall
#2  Search engines
Websitegithub.com/­datafuselabs/­databend
www.databend.com
hazelcast.comhyprcubd.com (offline)www.actian.com/­databases/­ingreswww.splunk.com
Technical documentationdocs.databend.comhazelcast.org/­imdg/­docsdocs.actian.com/­ingresdocs.splunk.com/­Documentation/­Splunk
DeveloperDatabend LabsHazelcastHyprcubd, Inc.Actian CorporationSplunk Inc.
Initial release202120081974 infooriginally developed at University Berkely in early 1970s2003
Current release1.0.59, April 20235.3.6, November 202311.2, May 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availablecommercialcommercialcommercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustJavaGoC
Server operating systemshosted
Linux
macOS
All OS with a Java VMhostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infotime, int, uint, float, stringyesyes
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.noyes infothe object must implement a serialization strategynono infobut tools for importing/exporting data from/to XML-files availableyes
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLyesSQL-like query languageSQL-like query languageyesno infoSplunk Search Processing Language for search commands
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
gRPC (https).NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP REST
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesnoyesyes
Triggersnoyes infoEventsnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoReplicated MapIngres ReplicatorMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesone or two-phase-commit; repeatable reads; read commitednoACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesRole-based access controltoken accessfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
DatabendHazelcastHyprcubdIngresSplunk
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