DB-EnginesExtremeDB: the first and only COTS deterministic embedded database management system for mission- and safety-critical hard real-time applicationsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > EJDB vs. Hive vs. Microsoft Azure Synapse Analytics vs. TimesTen

System Properties Comparison EJDB vs. Hive vs. Microsoft Azure Synapse Analytics vs. TimesTen

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonHive  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)data warehouse software for querying and managing large distributed datasets, built on HadoopElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerIn-Memory RDBMS compatible to Oracle
Primary database modelDocument storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.24
Rank#277  Overall
#39  Document stores
Score81.93
Rank#15  Overall
#10  Relational DBMS
Score17.98
Rank#39  Overall
#24  Relational DBMS
Score1.81
Rank#129  Overall
#64  Relational DBMS
Websiteejdb.orghive.apache.orgazure.microsoft.com/­services/­synapse-analyticswww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.microsoft.com/­azure/­synapse-analyticsdocs.oracle.com/­database/­timesten-18.1
DeveloperSoftmotionsApache Software Foundation infoinitially developed by FacebookMicrosoftOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2012201220161998
Current release3.1.2, August 201911 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoApache Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC++
Server operating systemsserver-lessAll OS with a Java VMhostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesyes
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
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesyes
APIs and other access methodsin-process shared libraryJDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C++
Java
PHP
Python
C#
Java
PHP
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceTransact SQLPL/SQL
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factoryesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlnoAccess rights for users, groups and rolesyesfine grained access rights according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesSQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
EJDBHiveMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTimesTen
DB-Engines blog posts

Why is Hadoop not listed in the DB-Engines Ranking?
13 May 2013, Paul Andlinger

show all

Recent citations in the news

Compare Hadoop vs. Spark vs. Kafka for your big data strategy
15 November 2021, TechTarget

AWS Announces New Serverless Options for Three Analytics Services
30 November 2021, Business Wire

Starburst Unveils Cross-Cloud Analytics Service
29 November 2021, Datanami

Real-Time Exactly-Once Event Processing at Uber with Apache Flink, Kafka, and Pinot
12 November 2021, InfoQ.com

WANdisco LiveData Migrator Now Migrates Apache Hive Metadata to AWS Glue Data Catalog
5 August 2021, PRNewswire

provided by Google News

The route to success? Microsoft Azure Synapse Analytics and Power BI
9 November 2021, Technology Record

Gluent Allows Customers to Migrate to Azure Synapse Analytics Faster Than Ever with the Release of Gluent Data Platform 4.3
21 November 2021, PR Web

Key Microsoft Azure News from Ignite
3 November 2021, Redmondmag.com

Microsoft open-sources SynapseML for developing AI pipelines
17 November 2021, VentureBeat

Informatica unveils program to launch Modern Cloud Analytics on Azure
17 November 2021, Cloud Tech

provided by Google News

Job opportunities

Hortonworks Administrator
nFolks Data Solutions, Austin, TX

PS Engineering - Data Analysis
Procter & Gamble, Cincinnati, OH

Data Engineer - 4036504
Accenture, Walnut Creek, CA

GCP Developer
Cognizant Technology Solutions, Hamden, CT

Hadoop Administrator
Logic Loops, Atlanta, GA

Business Operations Associate
Microsoft, Bellevue, WA

Azure Data & AI Digital Sales Representative ( Synapse)
Microsoft, Atlanta, GA

Support Engineer - Azure Synapse
Microsoft, Issaquah, WA

Azure Synapse
Cubestech, Remote

PowerBI Developer - 100% remote
Piper Companies, Remote

jobs by Indeed



Share this page

Featured Products

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 80GB free.

Couchbase logo

The modern database for enterprise applications. Build fast. Scale Big. Save more.
Get started today.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here