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DBMS > atoti vs. Splunk vs. Trafodion vs. YugabyteDB

System Properties Comparison atoti vs. Splunk vs. Trafodion vs. YugabyteDB

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonSplunk  Xexclude from comparisonTrafodion  Xexclude from comparisonYugabyteDB  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Analytics Platform for Big DataTransactional SQL-on-Hadoop DBMSHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelObject oriented DBMSSearch engineRelational DBMSRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#11  Object oriented DBMS
Score89.10
Rank#14  Overall
#2  Search engines
Score2.63
Rank#109  Overall
#53  Relational DBMS
Websiteatoti.iowww.splunk.comtrafodion.apache.orgwww.yugabyte.com
Technical documentationdocs.atoti.iodocs.splunk.com/­Documentation/­Splunktrafodion.apache.org/­documentation.htmldocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperActiveViamSplunk Inc.Apache Software Foundation, originally developed by HPYugabyte Inc.
Initial release200320142017
Current release2.3.0, February 20192.19, September 2023
License infoCommercial or Open Sourcecommercial infofree versions availablecommercial infoLimited free edition and free developer edition availableOpen Source infoApache 2.0Open Source infoApache 2.0
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.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageJavaC++, JavaC and C++
Server operating systemsLinux
OS X
Solaris
Windows
LinuxLinux
OS X
Data schemeyesyesdepending on used data model
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.yesnono
Secondary indexesyesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)no infoSplunk Search Processing Language for search commandsyesyes, PostgreSQL compatible
APIs and other access methodsHTTP RESTADO.NET
JDBC
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 languagesC#
Java
JavaScript
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresPythonyesJava Stored Proceduresyes infosql, plpgsql, C
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingShardingHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes, via HBaseBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infovia user defined functions and HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardyes
More information provided by the system vendor
atotiSplunkTrafodionYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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atotiSplunkTrafodionYugabyteDB
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