DBMS > Apache HugeGraph vs. Apache Impala vs. Linter

System Properties Comparison Apache HugeGraph vs. Apache Impala vs. Linter

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Editorial information provided by DB-Engines

Name

Description

A fast-speed and highly-scalable Graph DBMS

Analytic DBMS for Hadoop

RDBMS for high security requirements

Primary database model

Graph DBMS

Relational DBMS

Secondary database models

Document store

Spatial DBMS

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

Score	0.20
Rank	#309	Overall
	#26	Graph DBMS

Score	10.08
Rank	#41	Overall
	#25	Relational DBMS

Score	0.01
Rank	#371	Overall
	#157	Relational DBMS

Website

github.com/hugegraph
hugegraph.apache.org

impala.apache.org

linter.ru

Technical documentation

hugegraph.apache.org/docs

impala.apache.org/impala-docs.html

Developer

Baidu

Apache Software Foundation

Apache top-level project, originally developed by Cloudera

relex.ru

Initial release

2018

2013

1990

Current release

0.9

4.1.0, June 2022

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

Apache Version 2

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

C++

C and C++

Server operating systems

Linux
macOS
Unix

Linux

AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows

Data scheme

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.

Secondary indexes

yes

also supports composite index and range index

yes

SQL

Support of SQL

SQL-like DML and DDL statements

yes

APIs and other access methods

Java API
RESTful HTTP API
TinkerPop Gremlin

JDBC
ODBC

ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)

Supported programming languages

Groovy
Java
Python

All languages supporting JDBC/ODBC

C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl

Server-side scripts

Stored procedures

asynchronous Gremlin script jobs

yes

user defined functions and integration of map-reduce

yes

proprietary syntax with the possibility to convert from PL/SQL

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

yes

depending on used storage backend, e.g. Cassandra and HBase

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

depending on used storage backend, e.g. Cassandra and HBase

selectable replication factor

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

via hugegraph-spark

yes

query execution via MapReduce

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

edges in graph

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

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

Users, roles and permissions

Access rights for users, groups and roles

based on Apache Sentry and Kerberos

fine grained access rights according to SQL-standard

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More resources

Recent citations in the news

CISA warns of actively exploited Apache HugeGraph-Server bug
19 September 2024, BleepingComputer

Critical Apache HugeGraph Vulnerability Under Attack - Patch ASAP
17 July 2024, The Hacker News

POC exploit code published for 9.8-rated Apache HugeGraph RCE flaw
7 June 2024, The Register

CISA issues warning over critical Apache HugeGraph-Server vulnerability
20 September 2024, Tech Monitor

Apache HugeGraph Vulnerability Exploited in Wild
17 July 2024, SecurityWeek

provided by Google News

Apache Impala becomes Top-Level Project
28 November 2017, SDTimes.com

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

Cloudera Bringing Impala to AWS Cloud
28 November 2017, Datanami

Cloudera brings Apache Iceberg data lake format to its Data Platform
30 June 2022, SiliconANGLE News

Hudi: Uber Engineering’s Incremental Processing Framework on Apache Hadoop
12 March 2017, Uber

provided by Google News

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