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DBMS > Apache Drill vs. BigObject vs. Databricks vs. etcd vs. eXtremeDB

System Properties Comparison Apache Drill vs. BigObject vs. Databricks vs. etcd vs. eXtremeDB

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonBigObject  Xexclude from comparisonDatabricks  Xexclude from comparisonetcd  Xexclude from comparisoneXtremeDB  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageAnalytic DBMS for real-time computations and queriesThe 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 distributed reliable key-value storeNatively in-memory DBMS with options for persistency, high-availability and clustering
Primary database modelDocument store
Relational DBMS
Relational DBMS infoa hierachical model (tree) can be imposedDocument store
Relational DBMS
Key-value storeRelational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score7.03
Rank#54  Overall
#5  Key-value stores
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Websitedrill.apache.orgbigobject.iowww.databricks.cometcd.io
github.com/­etcd-io/­etcd
www.mcobject.com
Technical documentationdrill.apache.org/­docsdocs.bigobject.iodocs.databricks.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.mcobject.com/­docs/­extremedb.htm
DeveloperApache Software FoundationBigObject, Inc.DatabricksMcObject
Initial release2012201520132001
Current release1.20.3, January 20233.4, August 20198.2, 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree community edition availablecommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++
Server operating systemsLinux
OS X
Windows
Linux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedFreeBSD
Linux
Windows infoexperimental
AIX
HP-UX
Linux
macOS
Solaris
Windows
Data schemeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nonoyesnono infosupport of XML interfaces available
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL-like DML and DDL statementswith Databricks SQLnoyes infowith the option: eXtremeSQL
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
fluentd
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
gRPC
JSON over HTTP
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesC++Python
R
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C
C#
C++
Java
Lua
Python
Scala
Server-side scripts infoStored proceduresuser defined functionsLuauser defined functions and aggregatesnoyes
Triggersnonoyes, watching key changesyes infoby defining events
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning / sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Active Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies available
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesnonoyes
User concepts infoAccess controlDepending on the underlying data sourcenono
More information provided by the system vendor
Apache DrillBigObjectDatabricksetcdeXtremeDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
eXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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Apache DrillBigObjectDatabricksetcdeXtremeDB
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