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DBMS > Databricks vs. FileMaker vs. Memcached vs. YugabyteDB

System Properties Comparison Databricks vs. FileMaker vs. Memcached vs. YugabyteDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonFileMaker  Xexclude from comparisonMemcached  Xexclude from comparisonYugabyteDB  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.FileMaker is a cross-platform RDBMS that includes a GUI frontend.In-memory key-value store, originally intended for cachingHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score2.91
Rank#102  Overall
#51  Relational DBMS
Websitewww.databricks.comwww.claris.com/­filemakerwww.memcached.orgwww.yugabyte.com
Technical documentationdocs.databricks.comwww.claris.com/­resources/­documentationgithub.com/­memcached/­memcached/­wikidocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperDatabricksClaris infoa subsidiary of AppleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalYugabyte Inc.
Initial release2013198320032017
Current release19.4.1, November 20211.6.25, March 20242.19, September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSD licenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageCC and C++
Server operating systemshostediOS infoclient part only
Linux
OS X
Windows
FreeBSD
Linux
OS X
Unix
Windows
Linux
OS X
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freedepending on used data model
Typing infopredefined data types such as float or dateyesnoyes
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.yesyes infoA http query request can return the data in XML formatno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLwith Databricks SQLyes infovia pluginsnoyes, PostgreSQL compatible
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Filemaker WebDirect
JDBC
ODBC
Proprietary protocolJDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesPython
R
Scala
PHP.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesnoyes infosql, plpgsql, C
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication, warm standby infosince Version 14none infoRepcached, a Memcached patch, provides this functionallityBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesnoyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesyes infousing SASL (Simple Authentication and Security Layer) protocolyes
More information provided by the system vendor
DatabricksFileMakerMemcachedYugabyteDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
YugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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DatabricksFileMakerMemcachedYugabyteDB
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