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DBMS > Apache Druid vs. Fujitsu Enterprise Postgres vs. Lovefield vs. SwayDB vs. UniData,UniVerse

System Properties Comparison Apache Druid vs. Fujitsu Enterprise Postgres vs. Lovefield vs. SwayDB vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonLovefield  Xexclude from comparisonSwayDB  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Embeddable relational database for web apps written in pure JavaScriptAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSKey-value storeMultivalue DBMS
Secondary database modelsDocument store
Spatial 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
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitedruid.apache.orgwww.postgresql.fastware.comgoogle.github.io/­lovefieldswaydb.simer.auwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationdruid.apache.org/­docs/­latest/­designwww.postgresql.fastware.com/­product-manualsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperApache Software Foundation and contributorsPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGoogleSimer PlahaRocket Software
Initial release2012201420181985
Current release29.0.1, April 2024Fujitsu Enterprise Postgres 14, January 20222.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache 2.0Open Source infoGNU Affero GPL V3.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJavaScriptScalaC
Server operating systemsLinux
OS X
Unix
Linux
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAIX
HP-UX
Linux
Solaris
Windows
Data schemeyes infoschema-less columns are supportedyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnooptional
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
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLSQL for queryingyesSQL-like query language infovia JavaScript builder patternnoyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScriptJava
Kotlin
Scala
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnouser defined functionsnonoyes
TriggersnoyesUsing read-only observersnoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedpartitioning by range, list and by hashnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationnonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDAtomic execution of operationsACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDByes
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-standardnonoAccess rights according to SQL-standard and operating system based
More information provided by the system vendor
Apache DruidFujitsu Enterprise PostgresLovefieldSwayDBUniData,UniVerse
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
Apache DruidFujitsu Enterprise PostgresLovefieldSwayDBUniData,UniVerse
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