DBMS > Aerospike vs. Google BigQuery vs. Newts vs. Titan

System Properties Comparison Aerospike vs. Google BigQuery vs. Newts vs. Titan

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Editorial information provided by DB-Engines

Name

Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.

Description

Flash-optimized In-memory NoSQL Database

Large scale data warehouse service with append-only tables

Time Series DBMS based on Cassandra

Titan is a Graph DBMS optimized for distributed clusters.

Primary database model

Document store
Graph DBMS

leveraging Apache Tinkerpop
Key-value store
Spatial DBMS

Relational DBMS

Time Series DBMS

Graph DBMS

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

Score	6.10
Rank	#59	Overall
	#11	Document stores
	#3	Graph DBMS
	#7	Key-value stores
	#2	Spatial DBMS

Score	61.90
Rank	#19	Overall
	#13	Relational DBMS

Score	0.00
Rank	#396	Overall
	#42	Time Series DBMS

Website

aerospike.com

cloud.google.com/bigquery

opennms.github.io/newts

github.com/thinkaurelius/titan

Technical documentation

docs.aerospike.com

cloud.google.com/bigquery/docs

github.com/OpenNMS/newts/wiki

github.com/thinkaurelius/titan/wiki

Social network pages

Developer

Aerospike

Google

OpenNMS Group

Aurelius, owned by DataStax

Initial release

2012

2010

2014

2012

Current release

7.0, November 2023

License

Commercial or Open Source

Open Source

Apache and AGPL Licenses; open sourced in June 2014; commercial Enterprise Edition available

commercial

Open Source

Apache 2.0

Open Source

Apache license, version 2.0

Cloud-based only

Only available as a cloud service

yes

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

hosted

Linux
OS X
Windows

Linux
OS X
Unix
Windows

Data scheme

schema-free

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.

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

JDBC
Proprietary protocol
TinkerPop Gremlin

RESTful HTTP/JSON API

HTTP REST
Java API

Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster

Supported programming languages

.Net
C
C#
C++
Erlang
Go
Java
JavaScript (Node.js)
Lua
Perl
PHP
Python
Ruby

.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby

Java

Clojure
Java
Python

Server-side scripts

Stored procedures

user defined functions

with Lua

user defined functions

in JavaScript

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Sharding

based on Cassandra

yes

via pluggable storage backends

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

based on Cassandra

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Aerospike Aggregation Framework is similar to Map/Reduce

yes

via Faunus, a graph analytics engine

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency in cross-datacenter configuration and Immediate Consistency in local cluster configuration

Immediate Consistency

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graph

Transaction concepts

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

Atomic execution of operations

Since BigQuery is designed for querying data

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

Supports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast

In-memory capabilities

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

yes

User concepts

Access control

Access rights for users and roles

with Enterprise Edition only

Access privileges (owner, writer, reader) on dataset, table or view level

Google Cloud Identity & Access Management (IAM)

User authentification and security via Rexster Graph Server

More information provided by the system vendor

Specific characteristics

Aerospike is an enterprise-class, NoSQL database solution delivering predictable...
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Competitive advantages

Optimized for use with SSDs (solid-state hard drives) Scales horizontally and vertically...
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Typical application scenarios

Aerospike excels in mission-critical applications that have mixed read/write workloads...
» more

Key customers

Nielsen, Williams-Sonoma, Inmobi, AppNexus, Telco (confidential), Financial Services...
» more

Market metrics

Aerospike's combination of speed, scalability, and reliability delivers 10x performance...
» more

Licensing and pricing models

Subscription-based Enterprise Edition and free, open-source Community Edition
» more

News

Aerospike Closes $109M in Growth Capital from Sumeru Equity Partners
4 April 2024

Aerospike Achieves the new AWS Advertising and Marketing Technology Competency
30 November 2023

Aerospike Showcases New Levels of Database Performance, Price, and Sustainability on Graviton3 at AWS re:Invent
28 November 2023

Aerospike Database 7 Delivers Enterprise Resiliency, Scale, and Speed to In-memory Database Workloads
15 November 2023

Aerospike Listed as Sample Vendor in Gartner® Hype Cycle™ for Data Management, 2023
24 October 2023

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.