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DBMS > atoti vs. Cachelot.io vs. Prometheus vs. Spark SQL

System Properties Comparison atoti vs. Cachelot.io vs. Prometheus vs. Spark SQL

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonCachelot.io  Xexclude from comparisonPrometheus  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.In-memory caching systemOpen-source Time Series DBMS and monitoring systemSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelObject oriented DBMSKey-value storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiteatoti.iocachelot.ioprometheus.iospark.apache.org/­sql
Technical documentationdocs.atoti.ioprometheus.io/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperActiveViamApache Software Foundation
Initial release201520152014
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoSimplified BSD LicenseOpen Source infoApache 2.0Open Source infoApache 2.0
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 languageJavaC++GoScala
Server operating systemsFreeBSD
Linux
OS X
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoNumeric 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 infoImport of XML data possibleno
Secondary indexesnonono
SQL infoSupport of SQLMultidimensional Expressions (MDX)nonoSQL-like DML and DDL statements
APIs and other access methodsMemcached protocolRESTful HTTP/JSON APIJDBC
ODBC
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresPythonnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnoneShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoby Federationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenone
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlnonono

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More resources
atotiCachelot.ioPrometheusSpark SQL
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