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DBMS > atoti vs. FeatureBase vs. Postgres-XL vs. ScyllaDB

System Properties Comparison atoti vs. FeatureBase vs. Postgres-XL vs. ScyllaDB

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonFeatureBase  Xexclude from comparisonPostgres-XL  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresCassandra and DynamoDB compatible wide column store
Primary database modelObject oriented DBMSRelational DBMSRelational DBMSWide column store
Secondary database modelsDocument store
Spatial DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.45
Rank#253  Overall
#13  Object oriented DBMS
Score0.23
Rank#296  Overall
#134  Relational DBMS
Score0.43
Rank#260  Overall
#119  Relational DBMS
Score4.15
Rank#69  Overall
#5  Wide column stores
Websiteatoti.iowww.featurebase.comwww.postgres-xl.orgwww.scylladb.com
Technical documentationdocs.atoti.iodocs.featurebase.comwww.postgres-xl.org/­documentationdocs.scylladb.com
DeveloperActiveViamMolecula and Pilosa Open Source ContributorsScyllaDB
Initial release20172014 infosince 2012, originally named StormDB2015
Current release2022, May 202210 R1, October 2018ScyllaDB Open Source 6.0.2, July 2024
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoMozilla public licenseOpen Source infoOpen Source (AGPL), commercial license available
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 languageJavaGoCC++
Server operating systemsLinux
macOS
Linux
macOS
Linux
Data schemeyesyesschema-free
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.noyes infoXML type, but no XML query functionalityno
Secondary indexesnoyesyes infocluster global secondary indices
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL queriesyes infodistributed, parallel query executionSQL-like DML and DDL statements (CQL)
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesJava
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
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 proceduresPythonuser defined functionsyes, Lua
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoMVCCno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes infoin-memory tables
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per object
More information provided by the system vendor
atotiFeatureBasePostgres-XLScyllaDB
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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atotiFeatureBasePostgres-XLScyllaDB
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