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DBMS > Databricks vs. Graphite vs. InfinityDB vs. Riak KV

System Properties Comparison Databricks vs. Graphite vs. InfinityDB vs. Riak KV

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGraphite  Xexclude from comparisonInfinityDB  Xexclude from comparisonRiak KV  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.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperA Java embedded Key-Value Store which extends the Java Map interfaceDistributed, fault tolerant key-value store
Primary database modelDocument store
Relational DBMS
Time Series DBMSKey-value storeKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score5.19
Rank#62  Overall
#4  Time Series DBMS
Score0.00
Rank#383  Overall
#59  Key-value stores
Score3.84
Rank#76  Overall
#9  Key-value stores
Websitewww.databricks.comgithub.com/­graphite-project/­graphite-webboilerbay.com
Technical documentationdocs.databricks.comgraphite.readthedocs.ioboilerbay.com/­infinitydb/­manualwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperDatabricksChris DavisBoiler Bay Inc.OpenSource, formerly Basho Technologies
Initial release2013200620022009
Current release4.03.2.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonJavaErlang
Server operating systemshostedLinux
Unix
All OS with a Java VMLinux
OS X
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-free
Typing infopredefined data types such as float or dateNumeric data onlyyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysno
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.yesnonono
Secondary indexesyesnono infomanual creation possible, using inversions based on multi-value capabilityrestricted
SQL infoSupport of SQLwith Databricks SQLnonono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP API
Sockets
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
HTTP API
Native Erlang Interface
Supported programming languagesPython
R
Scala
JavaScript (Node.js)
Python
JavaC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresuser defined functions and aggregatesnonoErlang
Triggersnonoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenoneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency infoREAD-COMMITTED or SERIALIZEDEventual Consistency
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilityno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoOptimistic locking for transactions; no isolation for bulk loadsno
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnonoyes, using Riak Security
More information provided by the system vendor
DatabricksGraphiteInfinityDBRiak KV
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksGraphiteInfinityDBRiak KV
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