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DBMS > atoti vs. Vertica vs. YugabyteDB

System Properties Comparison atoti vs. Vertica vs. YugabyteDB

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Cloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.High-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelObject oriented DBMSRelational DBMS infoColumn orientedRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.47
Rank#251  Overall
#12  Object oriented DBMS
Score9.53
Rank#42  Overall
#26  Relational DBMS
Score2.45
Rank#107  Overall
#53  Relational DBMS
Websiteatoti.iowww.vertica.comwww.yugabyte.com
Technical documentationdocs.atoti.iovertica.com/­documentationdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperActiveViamOpenText infopreviously Micro Focus and Hewlett PackardYugabyte Inc.
Initial release20052017
Current release12.0.3, January 20232.19, September 2023
License infoCommercial or Open Sourcecommercial infofree versions availablecommercial infoLimited community edition freeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containersno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C and C++
Server operating systemsLinuxLinux
OS X
Data schemeYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.depending 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 indexesNo Indexes Required. Different internal optimization strategy, but same functionality included.yes
SQL infoSupport of SQLMultidimensional Expressions (MDX)Full 1999 standard plus machine learning, time series and geospatial. Over 650 functions.yes, PostgreSQL compatible
APIs and other access methodsADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
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 languagesC#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresPythonyes, PostgreSQL PL/pgSQL, with minor differencesyes infosql, plpgsql, C
Triggersyes, called Custom Alertsyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioninghorizontal partitioning, hierarchical partitioningHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.Based on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infoBi-directional Spark integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityyesyes
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 datayes, multi-version concurrency control (MVCC)yesyes
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.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hashyes

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More resources
atotiVertica infoOpenText™ Vertica™YugabyteDB
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