Software Alternatives, Accelerators & Startups

ClickHouse VS logit.io

Compare ClickHouse VS logit.io and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

ClickHouse logo ClickHouse

ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.

logit.io logo logit.io

Logit.io provides complete observability of logs, metrics and traces. The platform also offers alerting & monitoring, as well as Prometheus, OpenSearch & Grafana. Ingest any type of data to see real-time insights about your applications and services
  • ClickHouse Landing page
    Landing page //
    2019-06-18
  • logit.io Landing page
    Landing page //
    2021-08-11

Centralise logs, metrics and traces into a single platform for observability with Logit.io. The Logit.io platform provides complete data reporting, monitoring and alerting by harnessing the best open source tools including ELK, OpenSearch, Prometheus & Grafana.

As the Logit.io platform operates in compliance with GDPR, HIPAA, SOC 2 and is ISO 27001 & PCI Service Provider certified, you can rest assured that we uphold the best security standards possible to protect our user’s data and information security interests. The platform can also be used to meet compliance with the Cybersecurity Maturity Model certification for the following ID numbers AU.2.041, AU.2.042, AU.2.044, AU.3.045, AU.3.046, AU.3.048, AU.3.049, AU.3.050, AU.3.051 and AU.3.052.

In addition to this, our platform can also be used to detect and mitigate issues such as Log4Shell CVE-2021-44228.

Whether you need to conduct application performance monitoring, log management, infrastructure monitoring, SIEM, or data visualisation, the Logit.io platform is here to provide a complete platform for data management and analysis.

ClickHouse

Pricing URL
-
$ Details
Platforms
-
Release Date
-

logit.io

Website
logit.io
$ Details
paid Free Trial $0.74 (per GB per day)
Platforms
Ruby Java Python .Net GoLang Log4net Logary Node JS Fastly CloudFront Windows Google Chrome Linux iOS REST API Slack Apache Windows IIS
Release Date
2014 November

ClickHouse features and specs

  • High Performance
    ClickHouse is designed for fast processing of analytical queries, often performing significantly faster than traditional databases due to its columnar storage format and optimized query execution.
  • Scalability
    The system is built to handle extensive datasets by scaling horizontally through distributed cluster configurations, making it suitable for big data applications.
  • Real-time Data Ingestion
    ClickHouse supports real-time data ingestion and can immediately reflect changes in query results, which is valuable for use cases requiring instant data processing and analysis.
  • Cost Efficiency
    The open-source nature of ClickHouse makes it a cost-effective option, especially when compared to other commercial data warehouses.
  • SQL Compatibility
    ClickHouse features strong SQL support, which makes it easier for individuals with SQL expertise to transition and use the platform effectively.
  • Compression
    ClickHouse employs advanced compression algorithms that reduce storage requirements and improve query performance.

Possible disadvantages of ClickHouse

  • Complexity in Setup
    Setting up and managing ClickHouse, particularly in a distributed cluster environment, can be complex and require a higher level of expertise compared to some other database systems.
  • Limited Transaction Support
    ClickHouse is optimized for read-heavy operations and analytics but does not support full ACID transactions, which limits its use for certain transactional use cases.
  • Ecosystem and Tooling
    While the ecosystem is growing, ClickHouse still has fewer tools and third-party integrations compared to more mature databases, which can limit its utility in some environments.
  • Resource Intensive
    Running ClickHouse, especially for large datasets, can be resource-intensive, requiring significant memory and CPU resources.
  • Limited User Management
    The platform has relatively basic user management and security features, which may not meet the needs of enterprises with strict compliance and governance requirements.

logit.io features and specs

  • Retention Period
    365+ days with Enterprise
  • Free Trial
    14-day free trial, no credit card required
  • Grafana
    Unlimited
  • ELK Stack
    Unlimited
  • Logs Per Day
    2GB - 15TB+ with Enterprise
  • Users
    Unlimited
  • Search and Filtering
  • Stack Version Management
  • Logging
  • Metrics
  • Elasticsearch Cluster
  • Logstash
  • Kibana
  • Custom Visualisations and Dashboards
  • Saved Searches
  • Integrations (Slack, Pagerduty, etc)
  • Preconfigured Log/Metric Collection
  • Custom Log/Metric Collection
  • Auto-scaling
  • Over-usage Protection
  • Preconfigured Logstash Parsing
  • Two Factor Authentication (2FA)
  • Role Based Access Control
  • Audit Log
  • Help Centre

Category Popularity

0-100% (relative to ClickHouse and logit.io)
Databases
100 100%
0% 0
Monitoring Tools
0 0%
100% 100
Relational Databases
100 100%
0% 0
Log Management
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare ClickHouse and logit.io

ClickHouse Reviews

Rockset, ClickHouse, Apache Druid, or Apache Pinot? Which is the best database for customer-facing analytics?
ClickHouse is an open-source, column-oriented, distributed, and OLAP database that’s very easy to set up and maintain. “Because it’s columnar, it’s the best architectural approach for aggregations and for ‘sort by’ on more than one column. It also means that group by’s are very fast. It’s distributed, replication is asynchronous, and it’s OLAP—which means it’s meant for...
Source: embeddable.com
ClickHouse vs TimescaleDB
Recently, TimescaleDB published a blog comparing ClickHouse & TimescaleDB using timescale/tsbs, a timeseries benchmarking framework. I have some experience with PostgreSQL and ClickHouse but never got the chance to play with TimescaleDB. Some of the claims about TimescaleDB made in their post are very bold, that made me even more curious. I thought it’d be a great...
20+ MongoDB Alternatives You Should Know About
ClickHouse may be a great contender for moving analytical workloads from MongoDB. Much faster, and with JSON support and Nested Data Structures, it can be great choice for storing and analyzing document data.
Source: www.percona.com

logit.io Reviews

The Top 14 Free and Open Source SIEM Tools For 2022
SIEM as a Service is Logit.io’s managed offering providing all of the key components required for organisations to secure their operations at one of the most affordable rates in the industry.
Source: logit.io

Social recommendations and mentions

Based on our record, ClickHouse seems to be more popular. It has been mentiond 56 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

ClickHouse mentions (56)

  • How to Build a Streaming Deduplication Pipeline with Kafka, GlassFlow, and ClickHouse
    ClickHouse: A fast columnar database. It will be our final destination for clean data. And, for simplicity in this tutorial, we'll cleverly use it as our "memory" or state store to remember which events we've already seen recently. - Source: dev.to / 5 days ago
  • Why You Shouldn’t Invest In Vector Databases?
    In fact, even in the absence of these commercial databases, users can effortlessly install PostgreSQL and leverage its built-in pgvector functionality for vector search. PostgreSQL stands as the benchmark in the realm of open-source databases, offering comprehensive support across various domains of database management. It excels in transaction processing (e.g., CockroachDB), online analytics (e.g., DuckDB),... - Source: dev.to / 25 days ago
  • Twitter's 600-Tweet Daily Limit Crisis: Soaring GCP Costs and the Open Source Fix Elon Musk Ignored
    ClickHouse: ClickHouse is an open-source columnar database management system designed for high-performance analytics. It excels at processing large volumes of data and offers real-time querying capabilities. It’s probably the world’s fastest real-time data analytics system: ClickHouse Benchmark. - Source: dev.to / about 1 month ago
  • DeepSeek's Data Breach: A Wake-Up Call for AI Data Security
    Further investigation revealed that these ports provided direct access to a publicly exposed ClickHouse database—entirely unprotected and requiring no authentication. This discovery raised immediate security concerns, as ClickHouse is an open-source, columnar database management system designed for high-speed analytical queries on massive datasets. Originally developed by Yandex, ClickHouse is widely used for... - Source: dev.to / 4 months ago
  • Should You Ditch Spark for DuckDB or Polars?
    Clickhouse also has managed service (https://clickhouse.com/). - Source: Hacker News / 5 months ago
View more

logit.io mentions (0)

We have not tracked any mentions of logit.io yet. Tracking of logit.io recommendations started around Mar 2021.

What are some alternatives?

When comparing ClickHouse and logit.io, you can also consider the following products

MySQL - The world's most popular open source database

Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

Plumbr - Plumbr is an application performance platform that provides insights to users on the performance of their applications.

Apache Doris - Apache Doris is an open-source real-time data warehouse for big data analytics.

CXGuardian - CXGuardian is a platform powered by QualityKiosk Technologies and allows users to monitor their mobile and web-based applications’ performance.