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DBMS > Altibase vs. atoti vs. Databricks vs. EventStoreDB

System Properties Comparison Altibase vs. atoti vs. Databricks vs. EventStoreDB

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Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonatoti  Xexclude from comparisonDatabricks  Xexclude from comparisonEventStoreDB  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Industrial-strength, open-source database solution built from the ground up for event sourcing.
Primary database modelRelational DBMSObject oriented DBMSDocument store
Relational DBMS
Event Store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#189  Overall
#88  Relational DBMS
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.19
Rank#173  Overall
#1  Event Stores
Websitealtibase.comatoti.iowww.databricks.comwww.eventstore.com
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdocs.atoti.iodocs.databricks.comdevelopers.eventstore.com
DeveloperAltibaseActiveViamDatabricksEvent Store Limited
Initial release199920132012
Current releasev7.3, 2023, August 202321.2, February 2021
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercial infofree versions availablecommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemsAIX
HP-UX
Linux
hostedLinux
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyes
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
Secondary indexesyesyes
SQL infoSupport of SQLANSI SQL-92Multidimensional Expressions (MDX)with Databricks SQL
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C++
Java
Python
R
Scala
Server-side scripts infoStored proceduresstored procedures and stored functionsPythonuser defined functions and aggregates
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes
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-standard
More information provided by the system vendor
AltibaseatotiDatabricksEventStoreDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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AltibaseatotiDatabricksEventStoreDB
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