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DBMS > Databricks vs. LeanXcale vs. LevelDB vs. OpenTSDB

System Properties Comparison Databricks vs. LeanXcale vs. LevelDB vs. OpenTSDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonLeanXcale  Xexclude from comparisonLevelDB  Xexclude from comparisonOpenTSDB  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 highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesScalable Time Series DBMS based on HBase
Primary database modelDocument store
Relational DBMS
Key-value store
Relational DBMS
Key-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Websitewww.databricks.comwww.leanxcale.comgithub.com/­google/­leveldbopentsdb.net
Technical documentationdocs.databricks.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdopentsdb.net/­docs/­build/­html/­index.html
DeveloperDatabricksLeanXcaleGooglecurrently maintained by Yahoo and other contributors
Initial release2013201520112011
Current release1.23, February 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSDOpen Source infoLGPL
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemshostedIllumos
Linux
OS X
Windows
Linux
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-free
Typing infopredefined data types such as float or datenonumeric data for metrics, strings for tags
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 SQLyes infothrough Apache Derbynono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
HTTP API
Telnet API
Supported programming languagesPython
R
Scala
C
Java
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Erlang
Go
Java
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnono
More information provided by the system vendor
DatabricksLeanXcaleLevelDBOpenTSDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksLeanXcaleLevelDBOpenTSDB
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