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DBMS > Databricks vs. etcd vs. eXtremeDB vs. Immudb vs. Oracle Coherence

System Properties Comparison Databricks vs. etcd vs. eXtremeDB vs. Immudb vs. Oracle Coherence

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonetcd  Xexclude from comparisoneXtremeDB  Xexclude from comparisonImmudb  Xexclude from comparisonOracle Coherence  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 distributed reliable key-value storeNatively in-memory DBMS with options for persistency, high-availability and clusteringAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Oracles in-memory data grid solution
Primary database modelDocument store
Relational DBMS
Key-value storeRelational DBMS
Time Series DBMS
Key-value storeKey-value store
Secondary database modelsRelational 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
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score0.24
Rank#305  Overall
#43  Key-value stores
Score1.92
Rank#130  Overall
#22  Key-value stores
Websitewww.databricks.cometcd.io
github.com/­etcd-io/­etcd
www.mcobject.comgithub.com/­codenotary/­immudb
immudb.io
www.oracle.com/­java/­coherence
Technical documentationdocs.databricks.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.mcobject.com/­docs/­extremedb.htmdocs.immudb.iodocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperDatabricksMcObjectCodenotaryOracle
Initial release2013200120202007
Current release3.4, August 20198.2, 20211.2.3, April 202214.1, August 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++GoJava
Server operating systemshostedFreeBSD
Linux
Windows infoexperimental
AIX
HP-UX
Linux
macOS
Solaris
Windows
BSD
Linux
macOS
Solaris
Windows
z/OS
All OS with a Java VM
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyes
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 infosupport of XML interfaces availablenono
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLwith Databricks SQLnoyes infowith the option: eXtremeSQLSQL-like syntaxno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC
JSON over HTTP
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
gRPC protocol
PostgreSQL wire protocol
JCache
JPA
RESTful HTTP API
Supported programming languagesPython
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
.Net
Go
Java
JavaScript (Node.js)
Python
.Net
C++
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyesnono
Triggersyes, watching key changesyes infoby defining eventsnoyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesUsing 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
yes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesnoyes
User concepts infoAccess controlnoauthentification to access the cache via certificates or http basic authentication
More information provided by the system vendor
DatabricksetcdeXtremeDBImmudbOracle Coherence
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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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...
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DatabricksetcdeXtremeDBImmudbOracle Coherence
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