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DBMS > atoti vs. Heroic vs. ReductStore vs. SWC-DB

System Properties Comparison atoti vs. Heroic vs. ReductStore vs. SWC-DB

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonHeroic  Xexclude from comparisonReductStore  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchDesigned 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.A high performance, scalable Wide Column DBMS
Primary database modelObject oriented DBMSTime Series DBMSTime Series DBMSWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websiteatoti.iogithub.com/­spotify/­heroicgithub.com/­reductstore
www.reduct.store
github.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.atoti.iospotify.github.io/­heroicwww.reduct.store/­docs
DeveloperActiveViamSpotifyReductStore LLCAlex Kashirin
Initial release201420232020
Current release1.9, March 20240.5, April 2021
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache 2.0Open Source infoBusiness Source License 1.1Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++, RustC++
Server operating systemsDocker
Linux
macOS
Windows
Linux
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or dateyes
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
Secondary indexesyes infovia Elasticsearch
SQL infoSupport of SQLMultidimensional Expressions (MDX)noSQL-like query language
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP APIProprietary protocol
Thrift
Supported programming languagesC++
JavaScript (Node.js)
Python
Rust
C++
Server-side scripts infoStored proceduresPythonnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono

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More resources
atotiHeroicReductStoreSWC-DB infoSuper Wide Column Database
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