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DBMS > Databricks vs. InfinityDB vs. SpaceTime

System Properties Comparison Databricks vs. InfinityDB vs. SpaceTime

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonInfinityDB  Xexclude from comparisonSpaceTime  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.A Java embedded Key-Value Store which extends the Java Map interfaceSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelDocument store
Relational DBMS
Key-value storeSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Websitewww.databricks.comboilerbay.comwww.mireo.com/­spacetime
Technical documentationdocs.databricks.comboilerbay.com/­infinitydb/­manual
DeveloperDatabricksBoiler Bay Inc.Mireo
Initial release201320022020
Current release4.0
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemshostedAll OS with a Java VMLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or dateyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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 indexesyesno infomanual creation possible, using inversions based on multi-value capabilityno
SQL infoSupport of SQLwith Databricks SQLnoA subset of ANSI SQL is implemented
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
RESTful HTTP API
Supported programming languagesPython
R
Scala
JavaC#
C++
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integrityno infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsno
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.nonono
User concepts infoAccess controlnoyes
More information provided by the system vendor
DatabricksInfinityDBSpaceTime
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksInfinityDBSpaceTime
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