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DBMS > Apache Druid vs. eXtremeDB vs. Google Cloud Firestore vs. H2 vs. VoltDB

System Properties Comparison Apache Druid vs. eXtremeDB vs. Google Cloud Firestore vs. H2 vs. VoltDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisoneXtremeDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonH2  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataNatively in-memory DBMS with options for persistency, high-availability and clusteringCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Distributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMS
Time Series DBMS
Document storeRelational DBMSRelational DBMS
Secondary database modelsSpatial 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
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitedruid.apache.orgwww.mcobject.comfirebase.google.com/­products/­firestorewww.h2database.comwww.voltdb.com
Technical documentationdruid.apache.org/­docs/­latest/­designwww.mcobject.com/­docs/­extremedb.htmfirebase.google.com/­docs/­firestorewww.h2database.com/­html/­main.htmldocs.voltdb.com
DeveloperApache Software Foundation and contributorsMcObjectGoogleThomas MuellerVoltDB Inc.
Initial release20122001201720052010
Current release29.0.1, April 20248.2, 20212.2.220, July 202311.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++JavaJava, C++
Server operating systemsLinux
OS X
Unix
AIX
HP-UX
Linux
macOS
Solaris
Windows
hostedAll OS with a Java VMLinux
OS X infofor development
Data schemeyes infoschema-less columns are supportedyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nono infosupport of XML interfaces availablenono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL for queryingyes infowith the option: eXtremeSQLnoyesyes infoonly a subset of SQL 99
APIs and other access methodsJDBC
RESTful HTTP/JSON API
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C#
C++
Java
Lua
Python
Scala
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
JavaC#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnoyesyes, Firebase Rules & Cloud FunctionsJava Stored Procedures and User-Defined FunctionsJava
Triggersnoyes infoby defining eventsyes, with Cloud Functionsyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal partitioning / shardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Multi-source replicationWith clustering: 2 database servers on different computers operate on identical copies of a databaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes, multi-version concurrency control (MVCC)yes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyesyes infoSnapshots and command logging
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 systemAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.fine grained access rights according to SQL-standardUsers and roles with access to stored procedures
More information provided by the system vendor
Apache DruideXtremeDBGoogle Cloud FirestoreH2VoltDB
Specific characteristicseXtremeDB 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...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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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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More resources
Apache DruideXtremeDBGoogle Cloud FirestoreH2VoltDB
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