DBMS > EJDB vs. Impala vs. InfinityDB vs. Manticore Search vs. Newts

System Properties Comparison EJDB vs. Impala vs. InfinityDB vs. Manticore Search vs. Newts

Editorial information provided by DB-Engines

Name

Description

Embeddable document-store database library with JSON representation of queries (in MongoDB style)

Analytic DBMS for Hadoop

A Java embedded Key-Value Store which extends the Java Map interface

Multi-storage database for search, including full-text search.

Time Series DBMS based on Cassandra

Primary database model

Secondary database models

Document store

Time Series DBMS

using the Manticore Columnar Library

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

Score	0.10
Rank	#314	Overall
	#41	Document stores

Score	18.03
Rank	#40	Overall
	#25	Relational DBMS

Score	0.02
Rank	#338	Overall
	#50	Key-value stores

Score	0.07
Rank	#326	Overall
	#20	Search engines

Score	0.00
Rank	#354	Overall
	#33	Time Series DBMS

Website

ejdb.org

www.cloudera.com/products/open-source/apache-hadoop/impala.html

boilerbay.com

manticoresearch.com

opennms.github.io/newts

Technical documentation

github.com/Softmotions/ejdb/blob/master/README.md

docs.cloudera.com/documentation/enterprise/latest/topics/impala.html

boilerbay.com/infinitydb/manual

manual.manticoresearch.com

github.com/OpenNMS/newts/wiki

Developer

Softmotions

Cloudera

Boiler Bay Inc.

Manticore Software

OpenNMS Group

Initial release

2012

2013

2002

2017

2014

Current release

4.0.0, July 2021

4.0

4.2, December 2021

License

Commercial or Open Source

Open Source

GPLv2

Open Source

Apache Version 2

commercial

Open Source

GPL version 2

Open Source

Apache 2.0

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

C++

Java

C++

Java

Server operating systems

server-less

Linux

All OS with a Java VM

FreeBSD
Linux
macOS
Windows

Linux
OS X
Windows

Data scheme

schema-free

yes

nested virtual Java Maps, multi-value, logical â€˜tuple spaceâ€™ runtime Schema upgrade

Fixed schema

schema-free

Typing

predefined data types such as float or date

yes

string, integer, double, bool, date, object_id

yes

all Java primitives, Date, CLOB, BLOB, huge sparse arrays

Int, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean

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.

Can index from XML

Secondary indexes

yes

manual creation possible, using inversions based on multi-value capability

yes

full-text index on all search fields

SQL

Support of SQL

SQL-like DML and DDL statements

SQL-like query language

APIs and other access methods

in-process shared library

JDBC
ODBC

Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/docs/ItemSpaceDataStructures.htm)

Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL

HTTP REST
Java API

Supported programming languages

Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby

All languages supporting JDBC/ODBC

Java

Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python

Java

Server-side scripts

Stored procedures

yes

user defined functions and integration of map-reduce

user defined functions

Triggers

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

none

Sharding

Partitioning is done manually, search queries against distributed index is supported

Sharding

based on Cassandra

Replication methods

Methods for redundantly storing data on multiple nodes

none

selectable replication factor

none

Synchronous replication based on Galera library

selectable replication factor

based on Cassandra

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

query execution via MapReduce

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

READ-COMMITTED or SERIALIZED

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

Foreign keys

Referential integrity

typically not needed, however similar functionality with collection joins possible

manual creation possible, using inversions based on multi-value capability

Transaction concepts

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

ACID

Optimistic locking for transactions; no isolation for bulk loads

yes

isolated transactions for atomic changes and binary logging for safe writes

Concurrency

Support for concurrent manipulation of data

yes

Read/Write Locking

yes

Durability

Support for making data persistent

yes

The original contents of fields are not stored in the Manticore index.

yes

In-memory capabilities

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

User concepts

Access control

Access rights for users, groups and roles

based on Apache Sentry and Kerberos

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More resources

Recent citations in the news

Apache Impala 4 Supports Operator Multi-Threading
29 July 2021, iProgrammer

Cloudera Boosts Hadoop App Development On Impala
10 November 2014, InformationWeek

Man Busts Out of Google, Rebuilds Top-Secret Query Machine
24 October 2012, WIRED

How to add a data source to Redash
5 April 2022, TechRepublic

News from O'Reilly Strata Conference + Hadoop World 2012: Azure HDInsight, Cloudera Impala, MapR M7
29 October 2012, InfoQ.com

provided by Google News

Build A Web Crawler with Search bar Using Wget and Manticore [A Step By Step Guide]
18 April 2020, hackernoon.com

provided by Google News

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