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DBMS > Databricks vs. Google Cloud Spanner vs. Graphite vs. Hawkular Metrics vs. Hyprcubd

System Properties Comparison Databricks vs. Google Cloud Spanner vs. Graphite vs. Hawkular Metrics vs. Hyprcubd

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonGraphite  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHyprcubd  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
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 horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Serverless Time Series DBMS
Primary database modelDocument store
Relational DBMS
Relational DBMSTime Series DBMSTime Series DBMSTime Series 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
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Websitewww.databricks.comcloud.google.com/­spannergithub.com/­graphite-project/­graphite-webwww.hawkular.orghyprcubd.com (offline)
Technical documentationdocs.databricks.comcloud.google.com/­spanner/­docsgraphite.readthedocs.iowww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperDatabricksGoogleChris DavisCommunity supported by Red HatHyprcubd, Inc.
Initial release2013201720062014
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonJavaGo
Server operating systemshostedhostedLinux
Unix
Linux
OS X
Windows
hosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-freeyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyesyes infotime, int, uint, float, string
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.yesnononono
Secondary indexesyesyesnonono
SQL infoSupport of SQLwith Databricks SQLyes infoQuery statements complying to ANSI 2011nonoSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
HTTP API
Sockets
HTTP RESTgRPC (https)
Supported programming languagesPython
R
Scala
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
Go
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesnononono
Triggersnonoyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication with 3 replicas for regional instances.noneselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoStrict serializable isolationnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingyesno
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nonotoken access
More information provided by the system vendor
DatabricksGoogle Cloud SpannerGraphiteHawkular MetricsHyprcubd
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksGoogle Cloud SpannerGraphiteHawkular MetricsHyprcubd
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