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  1. Stackups
  2. Application & Data
  3. Databases
  4. Big Data Tools
  5. Amazon Athena vs Monosi

Amazon Athena vs Monosi

OverviewComparisonAlternatives

Overview

Amazon Athena
Amazon Athena
Stacks519
Followers840
Votes49
Monosi
Monosi
Stacks1
Followers6
Votes0
GitHub Stars326
Forks34

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Detailed Comparison

Amazon Athena
Amazon Athena
Monosi
Monosi

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.

It is a stand-alone platform for data observability and monitoring. It ensures data quality by automatically monitoring your data stack for anomalies, alerting you of issues, and analyzing the root cause.

-
Profile & setup basic data quality monitors in minutes; No-code, stand-alone full web application; Automated, built-in scheduler & jobs; Integrate & monitor your entire data stack
Statistics
GitHub Stars
-
GitHub Stars
326
GitHub Forks
-
GitHub Forks
34
Stacks
519
Stacks
1
Followers
840
Followers
6
Votes
49
Votes
0
Pros & Cons
Pros
  • 16
    Use SQL to analyze CSV files
  • 8
    Glue crawlers gives easy Data catalogue
  • 7
    Cheap
  • 6
    Query all my data without running servers 24x7
  • 4
    No data base servers yay
No community feedback yet
Integrations
Amazon S3
Amazon S3
Presto
Presto
Amazon Redshift
Amazon Redshift
Google BigQuery
Google BigQuery
Snowflake
Snowflake

What are some alternatives to Amazon Athena, Monosi?

Grafana

Grafana

Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.

Kibana

Kibana

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

Prometheus

Prometheus

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

Apache Spark

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.

Nagios

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

Netdata

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

Zabbix

Zabbix

Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

Presto

Presto

Distributed SQL Query Engine for Big Data

Sensu

Sensu

Sensu is the future-proof solution for multi-cloud monitoring at scale. The Sensu monitoring event pipeline empowers businesses to automate their monitoring workflows and gain deep visibility into their multi-cloud environments.

Graphite

Graphite

Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand

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