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

Monosi vs ScratchDB

OverviewComparisonAlternatives

Overview

Monosi
Monosi
Stacks1
Followers6
Votes0
GitHub Stars326
Forks34
ScratchDB
ScratchDB
Stacks64
Followers2
Votes0

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CLI (Node.js)
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Detailed Comparison

Monosi
Monosi
ScratchDB
ScratchDB

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.

It is an open-source alternative to BigQuery, Redshift, and Snowflake. It is a wrapper around Clickhouse that lets you input arbitrary JSON and perform analytical queries against it. It automatically creates tables and columns when new data is added.

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
Open source; Build analytics with zero infrastructure; Automatically create and optimize tables from JSON; Lets you stream data without a "CREATE TABLE"
Statistics
GitHub Stars
326
GitHub Stars
-
GitHub Forks
34
GitHub Forks
-
Stacks
1
Stacks
64
Followers
6
Followers
2
Votes
0
Votes
0
Integrations
Amazon Redshift
Amazon Redshift
Google BigQuery
Google BigQuery
Snowflake
Snowflake
Clickhouse
Clickhouse
JSON
JSON

What are some alternatives to Monosi, ScratchDB?

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.

Amazon Athena

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.

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