Found Elasticsearch vs Quickwit
Overview
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CLI (Node.js)
Manual
Detailed Comparison
Create your own fully managed and hosted Elasticsearch cluster. You get a dedicated cluster with reserved memory, giving you predictable performance. There are no arbitrary limits on how many indexes or documents you can store. Scale your clusters as and when needed, without any downtime. | It is the next-gen search & analytics engine built for logs. It is designed from the ground up to offer cost-efficiency and high reliability on large data sets. Its benefits are most apparent in multi-tenancy or multi-index settings. |
Hosted and managed: You get your own fully hosted and managed Elasticsearch cluster. No need to host and maintain your own costly search infrastructure.; Reserved Memory and storage: Your clusters get reserved memory and storage. No shared clusters and no arbitrary limits on how many indexes or documents you can store.; Scalable and flexible: Start small, grow big. You can scale your cluster as and when needed, without any downtime. There are several Elasticsearch versions to choose from, and upgrading is easier than ever.; Developer friendly: Our HTTPS API is developer-friendly and existing Elasticsearch libraries such as Tire, PyES and others works out of the box. We even provide an unmodified Elasticsearch API, so for those who have an existing Elasticsearch integration it is easy to start using Found.; Security: Communication to and from our service is securely transmitted over HTTPS (SSL) and your data is stored behind multiple firewalls and proxies. All clusters run in isolated containers (LXC) and customizable ACLs allow for restricting access to trusted people and hosts.; Availability: For production and mission critical environments we provide replication and automatic failover, protecting your cluster against unplanned downtime. In addition, data is continuously backed up to Amazon S3. In the event of a datacenter failure, your cluster is automatically failed over to a working datacenter or, in the case of a catastrophic event, rebuilt from backup.; Multi region: Found Elasticsearch is available in multiple regions.; Found Elasticsearch is also available on Heroku, AppHarbor and CloudControl. | Highly scalable distributed search;
Sub-second full-text search on cloud / distributed storage;
Stream indexing: Kafka and Kinesis native;
Exactly-once semantics at indexing: no data loss;
Time-based sharding |
Statistics | |
GitHub Stars - | GitHub Stars 10.5K |
GitHub Forks - | GitHub Forks 491 |
Stacks 11 | Stacks 3 |
Followers 15 | Followers 8 |
Votes 0 | Votes 10 |
Pros & Cons | |
No community feedback yet | Pros
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Integrations | |
| No integrations available | |
What are some alternatives to Found Elasticsearch, Quickwit?
Elasticsearch
Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
Algolia
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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.
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.
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.
Sematext
Sematext pulls together performance monitoring, logs, user experience and synthetic monitoring that tools organizations need to troubleshoot performance issues faster.
Fluentd
Fluentd collects events from various data sources and writes them to files, RDBMS, NoSQL, IaaS, SaaS, Hadoop and so on. Fluentd helps you unify your logging infrastructure.
