AtScale vs Splunk

Overview

Splunk

Stacks772

Followers1.0K

Votes20

AtScale

Stacks25

Followers83

Votes0

AtScale vs Splunk: What are the differences?

What is AtScale? The virtual data warehouse for the modern enterprise. Its Virtual Data Warehouse delivers performance, security and agility to exceed the demands of modern-day operational analytics.

What is Splunk? Search, monitor, analyze and visualize machine data. It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.

AtScale and Splunk can be categorized as "Big Data" tools.

Some of the features offered by AtScale are:

Multiple SQL-on-Hadoop Engine Support
Access Data Where it Lays
Built-in Support for Complex Data Types

On the other hand, Splunk provides the following key features:

Predict and prevent problems with one unified monitoring experience
Streamline your entire security stack with Splunk as the nerve center
Detect, investigate and diagnose problems easily with end-to-end observability

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Detailed Comparison

Splunk	AtScale
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.	Its Virtual Data Warehouse delivers performance, security and agility to exceed the demands of modern-day operational analytics.
Predict and prevent problems with one unified monitoring experience; Streamline your entire security stack with Splunk as the nerve center; Detect, investigate and diagnose problems easily with end-to-end observability	Multiple SQL-on-Hadoop Engine Support; Access Data Where it Lays; Built-in Support for Complex Data Types; Single Drop-in Gateway Node Deployment
Statistics
Stacks 772	Stacks 25
Followers 1.0K	Followers 83
Votes 20	Votes 0
Pros & Cons
Pros 3 Alert system based on custom query results 3 API for searching logs, running reports 2 Ability to style search results into reports 2 Query engine supports joining, aggregation, stats, etc 2 Dashboarding on any log contents Cons 1 Splunk query language rich so lots to learn	No community feedback yet
Integrations
No integrations available	Python Amazon S3 Tableau Power BI Qlik Sense Azure Database for PostgreSQL

What are some alternatives to Splunk, AtScale?

Papertrail

Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.

Metabase

It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

Logmatic

Get a clear overview of what is happening across your distributed environments, and spot the needle in the haystack in no time. Build dynamic analyses and identify improvements for your software, your user experience and your business.

Loggly

It is a SaaS solution to manage your log data. There is nothing to install and updates are automatically applied to your Loggly subdomain.

Apache Spark

Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.

Logentries

Logentries makes machine-generated log data easily accessible to IT operations, development, and business analysis teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 25,000 worldwide users.

Logstash

Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.

Graylog

Centralize and aggregate all your log files for 100% visibility. Use our powerful query language to search through terabytes of log data to discover and analyze important information.

Presto

Distributed SQL Query Engine for Big Data

Amazon Athena

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.