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DBMS > atoti vs. HEAVY.AI vs. ScyllaDB vs. Yaacomo

System Properties Comparison atoti vs. HEAVY.AI vs. ScyllaDB vs. Yaacomo

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonScyllaDB  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareCassandra and DynamoDB compatible wide column storeOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelObject oriented DBMSRelational DBMSWide column storeRelational DBMS
Secondary database modelsSpatial DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score4.08
Rank#76  Overall
#5  Wide column stores
Websiteatoti.iogithub.com/­heavyai/­heavydb
www.heavy.ai
www.scylladb.comyaacomo.com
Technical documentationdocs.atoti.iodocs.heavy.aidocs.scylladb.com
DeveloperActiveViamHEAVY.AI, Inc.ScyllaDBQ2WEB GmbH
Initial release201620152009
Current release5.10, January 2022ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache Version 2; enterprise edition availableOpen Source infoOpen Source (AGPL), commercial license 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.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageJavaC++ and CUDAC++
Server operating systemsLinuxLinuxAndroid
Linux
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesnoyes infocluster global secondary indicesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesSQL-like DML and DDL statements (CQL)yes
APIs and other access methodsJDBC
ODBC
Thrift
Vega
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresPythonnoyes, Lua
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding infoRound robinShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factor infoRepresentation of geographical distribution of servers is possibleSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
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.yesyesyes infoin-memory tablesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per objectfine grained access rights according to SQL-standard
More information provided by the system vendor
atotiHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022ScyllaDBYaacomo
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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More resources
atotiHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022ScyllaDBYaacomo
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