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

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

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonInfinityDB  Xexclude from comparisonopenGemini  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.A Java embedded Key-Value Store which extends the Java Map interfaceAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityDistributed, fault tolerant key-value store
Primary database modelDocument store
Relational DBMS
Key-value storeTime Series DBMSKey-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
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score0.09
Rank#361  Overall
#37  Time Series DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitewww.databricks.comboilerbay.comwww.opengemini.org
github.com/­openGemini
Technical documentationdocs.databricks.comboilerbay.com/­infinitydb/­manualdocs.opengemini.org/­guidewww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperDatabricksBoiler Bay Inc.Huawei and openGemini communityOpenSource, formerly Basho Technologies
Initial release2013200220222009
Current release4.01.1, July 20233.2.0, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open 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 languageJavaGoErlang
Server operating systemshostedAll OS with a Java VMLinux
Windows
Linux
OS X
Data schemeFlexible Schema (defined schema, partial schema, schema free)yes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-freeschema-free
Typing infopredefined data types such as float or dateyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysInteger, Float, Boolean, Stringno
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 indexesyesno infomanual creation possible, using inversions based on multi-value capabilityyesrestricted
SQL infoSupport of SQLwith Databricks SQLnoSQL-like query languageno
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)
HTTP RESTHTTP API
Native Erlang Interface
Supported programming languagesPython
R
Scala
JavaC
C++
Go
Java
JavaScript (Node.js)
Python
Rust
C 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 nodesnoneShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDEventual Consistency
Foreign keys infoReferential integrityno infomanual creation possible, using inversions based on multi-value capabilitynono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyes
User concepts infoAccess controlnoAdministrators and common users accountsyes, using Riak Security
More information provided by the system vendor
DatabricksInfinityDBopenGeminiRiak KV
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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