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ARANGODB 3.9 SCALES GRAPH DATABASE OPERATIONS




THE OPEN SOURCE GRAPH DATABASE VENDOR RELEASED A NEW VERSION OF ITS PLATFORM
WITH NEW FEATURES TO ENABLE USERS TO BETTER DEAL WITH THE CHALLENGES OF GROWING
DATA WORKLOADS.

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By
 * Sean Michael Kerner

Published: 16 Feb 2022

Open source graph database vendor ArangoDB updated its namesake database with
new capabilities that improve both scalability and search.

ArangoDB 3.9 became generally available on Feb. 15 for open source and
enterprise users, as well as on the ArangoDB Oasis database-as-a-service cloud
platform.



ArangoDB provides multimodel database capabilities, but is primarily focused on
serving as a graph database platform. The vendor has been growing in recent
years, securing a $27.8 million funding round in October 2021.

Graph database technology is an active market with a bright future, according to
IDC analyst Carl Olofson. He noted that the market today is dominated by
purpose-built graph database platforms such as Neo4j, TigerGraph and Amazon
Neptune.

> ArangoDB has promoted its product first as a document database, then as a
> multimodel database, but it seems to me that their strongest play is as a
> graph database. ArangoDB has made significant advances in the graph space.
> Carl OlofsonAnalyst, IDC

"ArangoDB has promoted its product first as a document database, then as a
multimodel database, but it seems to me that their strongest play is as a graph
database," Olofson said. "ArangoDB has made significant advances in the graph
space, and I think that is their strong suit."


ARANGODB 3.9 SCALING GRAPH DATABASE OPERATIONS

ArangoDB 3.9 includes a number of updates to improve scalability.

"We're seeing our customers going to larger and larger clusters and use cases,"
said Jörg Schad, CTO at ArangoDB. "So in terms of data and in terms of
deployment, we built in a lot of things to actually enable that at scale."

Among the scalability improvements is the ability to execute queries faster
across a large number of database nodes. ArangoDB 3.9 also contains
optimizations for database cluster balancing as workloads grow.


HYBRID SMART GRAPHS LAND IN ARANGODB 3.9

One of the scalability capabilities in ArangoDB 3.9 comes in the form of a
feature the vendor refers to as a hybrid smart graph.

ArangoDB already had a capability known as smart graphs, which enables graph
data to be sharded across multiple database nodes. Schad noted that ArangoDB
users have also simply replicated data, typically for small data sets, to scale
out graph data sets. Replicated data provides a full copy of data, while
sharding provides slices of data spread across nodes.

Hybrid smart graphs enable users of the ArangoDB query optimizer to employ a
combination of both smart sharding and data replication to searched-for data,
Schad said.

ArangoDB

ArangoDB 3.9 includes updates to help optimize graph queries as workloads scale.



ARANGOSEARCH GETS A BOOST FOR GRAPH QUERIES

As part of the ArangoDB 3.9 release, the company has also updated its
ArangoSearch functionality.

ArangoSearch is a full-text search capability that can search across different
data types including graph, document data in JSON and geospatial data. Schad
said he has seen applications in which organizations start with a full-text
search to identify potential starting nodes for graph pattern matching for
analytics as well as fraud detection.

The update for ArangoSearch provides what the company calls a segmentation
analyzer for language searching.

It's not uncommon for a single document or data graph to contain content in
multiple languages, and Schad noted that ArangoSearch supports more than 40
human languages. With the update, it can segment queries and results by
language.

Looking forward, Schad said upcoming versions of ArangoDB will likely get
improved storage performance to help make graph queries faster. He also said the
vendor will keep working on enhancing the overall user experience of interacting
with the ArangoDB database.

"We have a lot of really interesting features that are coming," Schad said.



RELATED RESOURCES

 * Jargon buster guide to database management –ComputerWeekly.com
 * Taking stock of database technologies –ComputerWeekly.com
 * Navigating Data Integration –TechTarget
 * Trillion Edge Knowledge Graph –Stardog

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