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DBMS > Amazon Redshift vs. atoti vs. YugabyteDB

System Properties Comparison Amazon Redshift vs. atoti vs. YugabyteDB

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonatoti  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.High-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelRelational DBMSObject oriented DBMSRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.21
Rank#38  Overall
#23  Relational DBMS
Score0.47
Rank#251  Overall
#12  Object oriented DBMS
Score2.45
Rank#107  Overall
#53  Relational DBMS
Websiteaws.amazon.com/­redshiftatoti.iowww.yugabyte.com
Technical documentationdocs.aws.amazon.com/­redshiftdocs.atoti.iodocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperAmazon (based on PostgreSQL)ActiveViamYugabyte Inc.
Initial release20122017
Current release2.19, September 2023
License infoCommercial or Open Sourcecommercialcommercial infofree versions availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC and C++
Server operating systemshostedLinux
OS X
Data schemeyesdepending on used data model
Typing infopredefined data types such as float or dateyesyes
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 indexesrestrictedyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardMultidimensional Expressions (MDX)yes, PostgreSQL compatible
APIs and other access methodsJDBC
ODBC
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresuser defined functions infoin PythonPythonyes infosql, plpgsql, C
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyes

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More resources
Amazon RedshiftatotiYugabyteDB
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