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DBMS > Databricks vs. EventStoreDB vs. Hawkular Metrics vs. SwayDB

System Properties Comparison Databricks vs. EventStoreDB vs. Hawkular Metrics vs. SwayDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEventStoreDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionThe 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.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelDocument store
Relational DBMS
Event StoreTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.10
Rank#179  Overall
#1  Event Stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Websitewww.databricks.comwww.eventstore.comwww.hawkular.orgswaydb.simer.au
Technical documentationdocs.databricks.comdevelopers.eventstore.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperDatabricksEvent Store LimitedCommunity supported by Red HatSimer Plaha
Initial release2013201220142018
Current release21.2, February 2021
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache 2.0Open Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScala
Server operating systemshostedLinux
Windows
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free
Typing infopredefined data types such as float or dateyesno
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 indexesyesnono
SQL infoSupport of SQLwith Databricks SQLnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP REST
Supported programming languagesPython
R
Scala
Go
Java
Python
Ruby
Java
Kotlin
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesnono
Triggersyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnono
More information provided by the system vendor
DatabricksEventStoreDBHawkular MetricsSwayDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksEventStoreDBHawkular MetricsSwayDB
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