DBMS > BigObject vs. Ehcache vs. Teradata

System Properties Comparison BigObject vs. Ehcache vs. Teradata

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

Analytic DBMS for real-time computations and queries

A widely adopted Java cache with tiered storage options

A hybrid cloud data analytics software platform (Teradata Vantage)

Primary database model

Relational DBMS

a hierachical model (tree) can be imposed

Key-value store

Relational DBMS

Secondary database models

Document store
Graph DBMS
Spatial DBMS
Time Series DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.23
Rank	#345	Overall
	#153	Relational DBMS

Score	6.45
Rank	#64	Overall
	#8	Key-value stores

Score	60.33
Rank	#19	Overall
	#13	Relational DBMS

Website

bigobject.io

www.ehcache.org

www.teradata.com

Technical documentation

docs.bigobject.io

www.ehcache.org/documentation

docs.teradata.com

Developer

BigObject, Inc.

Terracotta Inc, owned by Software AG

Teradata

Initial release

2015

2009

1984

Current release

3.10.0, March 2022

Teradata Vantage 1.0 MU2, January 2019

License

Commercial or Open Source

commercial

free community edition available

Open Source

Apache Version 2; commercial licenses available

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

Server operating systems

Linux

distributed as a docker-image
OS X

distributed as a docker-image (boot2docker)
Windows

distributed as a docker-image (boot2docker)

All OS with a Java VM

hosted
Linux

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

Secondary indexes

yes

Join-index to prejoin tables, aggregate index, sparse index, hash index

SQL

Support of SQL

SQL-like DML and DDL statements

yes

SQL 2016 + extensions

APIs and other access methods

fluentd
ODBC
RESTful HTTP API

JCache

.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB

Supported programming languages

Java

C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby

Server-side scripts

Stored procedures

Lua

yes

UDFs, stored procedures, table functions in parallel

Triggers

yes

Cache Event Listeners

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

by using Terracotta Server

Sharding

Hashing

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

by using Terracotta Server

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Tunable Consistency (Strong, Eventual, Weak)

Immediate Consistency

Foreign keys

Referential integrity

yes

automatically between fact table and dimension tables

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

yes

supports JTA and can work as an XA resource

ACID

Concurrency

Support for concurrent manipulation of data

yes

Read/write lock on objects (tables, trees)

yes

Durability

Support for making data persistent

yes

using a tiered cache-storage approach

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

fine 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

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

More resources

DB-Engines blog posts

Teradata is the most popular data warehouse DBMS
2 April 2013, Paul Andlinger

show all

Recent citations in the news

Security Bulletin 20 Sep 2023
20 September 2023, Cyber Security Agency of Singapore

Ehcache 3.0 Released with Revamped API and Off-Heap Storage
2 May 2016, InfoQ.com

API Monitoring: Why It's Important and How to Do It Right
18 September 2023, Analytics Insight

How to Work on an Unfamiliar Codebase
17 May 2023, hackernoon.com

Critical Jira Flaw in Atlassian Could Lead to RCE
22 July 2021, Threatpost

provided by Google News

Teradata Helps Customers Accelerate AI-led Initiatives with New ...
26 September 2023, Datanami

SG Americas Securities LLC Sells 81517 Shares of Teradata Co ...
24 September 2023, MarketBeat

Teradata Launches ask.ai, Brings Generative AI Capabilities to ...
12 September 2023, Datanami

Why Is Teradata (TDC) Down 2.6% Since Last Earnings Report?
6 September 2023, Yahoo Finance

What to expect during the 'Teradata Possible' event: Join theCUBE ...
20 September 2023, SiliconANGLE News

provided by Google News

Job opportunities

Sr. Microservices Developer
Photon, New Jersey

Software Analyst/Developer
Verudix, Oak Brook, IL

SENIOR SPECIALIST, Full-Stack Developer
The Bank of New York Mellon Corporation, Jersey City, NJ

Sr. Software Developer(Applications)
Verudix, Oak Brook, IL

Tech Lead Microservices Developer
Photon, New Jersey

Influencer Marketing Specialist
Teradata, California

Supply Chain Analyst
Teradata, California

Pre-Sales Data Scientist, Financial Services
Teradata, California

Sr. Account Executive
Teradata, Dayton, OH

Global Procurement Contracts Manager
Teradata, California

jobs by

Share this page