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DBMS > Apache Druid vs. EventStoreDB vs. Faircom DB vs. Interbase

System Properties Comparison Apache Druid vs. EventStoreDB vs. Faircom DB vs. Interbase

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonEventStoreDB  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonInterbase  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataIndustrial-strength, open-source database solution built from the ground up for event sourcing.Native high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Light-weight proven RDBMS infooriginally from Borland
Primary database modelRelational DBMS
Time Series DBMS
Event StoreKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score1.10
Rank#179  Overall
#1  Event Stores
Score0.20
Rank#318  Overall
#48  Key-value stores
#141  Relational DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Websitedruid.apache.orgwww.eventstore.comwww.faircom.com/­products/­faircom-dbwww.embarcadero.com/­products/­interbase
Technical documentationdruid.apache.org/­docs/­latest/­designdevelopers.eventstore.comdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.embarcadero.com/­products/­interbase
DeveloperApache Software Foundation and contributorsEvent Store LimitedFairCom CorporationEmbarcadero
Initial release2012201219791984
Current release29.0.1, April 202421.2, February 2021V12, November 2020InterBase 2020, December 2019
License infoCommercial or Open SourceOpen Source infoApache license v2Open Sourcecommercial infoRestricted, free version availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaANSI C, C++C
Server operating systemsLinux
OS X
Unix
Linux
Windows
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Android
iOS
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema free, schema optional, schema required, partial schema,yes
Typing infopredefined data types such as float or dateyesyes, ANSI SQL Types, JSON, typed binary structuresyes
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.nonono infoexport as XML data possible
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL for queryingyes, ANSI SQL with proprietary extensionsyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
ADO.NET
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++yes infoInterbase procedure and trigger language
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Interbase Change Views
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanotunable from ACID to Eventually ConsistentACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny control
Durability infoSupport for making data persistentyesYes, tunable from durable to delayed durability to in-memoryyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemFine grained access rights according to SQL-standard with additional protections for filesfine grained access rights according to SQL-standard

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More resources
Apache DruidEventStoreDBFaircom DB infoformerly c-treeACEInterbase
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