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Apache Calcite VS Split.io

Compare Apache Calcite VS Split.io and see what are their differences

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Apache Calcite logo Apache Calcite

Relational Databases

Split.io logo Split.io

In a world where product development teams are pressured to do more with less, Split’s Feature Data Platform™ gives you the confidence to move fast without breaking things.
  • Apache Calcite Landing page
    Landing page //
    2022-04-30
  • Split.io Landing page
    Landing page //
    2023-08-02

In a world where product development teams are pressured to do more with less, Split’s Feature Data Platform™ gives you the confidence to move fast without breaking things.

Set up feature flags and safely deploy to production, controlling who sees which features and when. Connect every flag to contextual data, so you know if your features are making things better or worse, and act without hesitation. Effortlessly conduct feature experiments like A/B tests without slowing down. Split is a feature management platform that takes the extra step with experts to support you, online courses to help you learn as you go, and a developer-oriented culture that puts our customers at the center.

Whether you’re looking to increase your releases, to decrease your MTTR, or to ignite your dev team without burning them out–Change the way the work gets done with Split. Switch on a free account today, schedule a demo to learn more, or contact us for further questions.

Apache Calcite features and specs

  • Query Optimization
    Calcite provides advanced query planning and optimization features, allowing for efficient execution of SQL queries across different data sources.
  • Extensibility
    The framework is highly extensible, allowing users to add custom rules and support for additional languages and data stores.
  • Support for Multiple Data Sources
    Apache Calcite can integrate with a wide range of data sources, providing a unified query interface where users can query from different systems using standard SQL.
  • Community and Open Source
    As part of the Apache Software Foundation, Calcite benefits from a vibrant open-source community that continuously improves and expands its capabilities.

Possible disadvantages of Apache Calcite

  • Complexity
    The system can be complex to set up and configure, especially for users who are not familiar with query processing infrastructure.
  • Limited Direct Data Storage
    Calcite itself does not store or manage data; it acts as an intermediary layer, which may limit its use for those looking for a standalone database solution.
  • Learning Curve
    The rich set of features and customizations can lead to a steep learning curve, requiring users to invest time to fully understand and utilize its capabilities.
  • Performance Overhead
    Given that Calcite introduces an additional layer between the application and data storage, there might be performance overheads in certain use cases.

Split.io features and specs

  • Feature Flagging
    Split.io provides advanced feature flagging capabilities, allowing for controlled rollouts, A/B testing, and targeted releases.
  • Data-Driven Decisions
    The platform offers comprehensive analytics to measure the impact of features, helping businesses make informed decisions based on real user data.
  • Integration Capabilities
    Split.io supports integration with various data and development tools, making it easier to incorporate into existing workflows and tech stacks.
  • Scalability
    Split.io is designed to handle high volumes of feature flags and experiments, making it suitable for companies of all sizes, from startups to enterprises.
  • Security and Compliance
    The platform ensures data security and compliance with global standards, an important factor for businesses handling sensitive information.

Possible disadvantages of Split.io

  • Cost
    Split.io can be expensive, especially for smaller teams or startups, as pricing scales with usage and feature needs.
  • Learning Curve
    There is a learning curve associated with mastering all the features and integrating Split.io into existing processes, which might require dedicated time and resources.
  • Complexity
    For smaller projects or teams, the extensive features offered might be overkill and could complicate straightforward deployments.
  • Dependency on Platform
    Relying heavily on Split.io for feature management could result in a dependency that might be challenging to replace or migrate away from in the future.
  • Performance Overhead
    Implementing feature flags and experiments could introduce a slight performance overhead, particularly if not managed correctly.

Analysis of Split.io

Overall verdict

  • Split.io is a highly recommended platform if you are looking for advanced feature management and experimentation capabilities. Its scalability, integration options, and security measures make it a great choice for organizations aiming to innovate with confidence.

Why this product is good

  • Security
    It ensures secure handling of customer data and provides robust access control features to ensure compliance with modern security standards.
  • Integration
    The platform integrates well with a wide range of development and data tools, providing flexibility and a more streamlined workflow for engineering teams.
  • Scalability
    Split.io is designed to handle large-scale feature flags and experiments, making it suitable for organizations of various sizes.
  • Experimentation
    It offers advanced experimentation capabilities, enabling data-driven decisions through A/B testing and analytics, empowering teams to optimize user experiences based on reliable data.
  • Feature management
    Split.io provides robust feature management functionality that allows teams to control the rollout of new features and experiment with different variations seamlessly.

Recommended for

  • Product managers looking to control feature rollouts.
  • Engineering teams adopting CI/CD practices.
  • Data analysts and data scientists focusing on experimentation.
  • Large organizations managing complex feature environments.
  • Startups aiming to quickly iterate on feature development.

Apache Calcite videos

+ Add

The Evolution of Apache Calcite and its Community - A Discussion with Julian Hyde

More videos:

  • Review - Building modern SQL query optimizers with Apache Calcite - Vladimir Ozerov

Split.io videos

+ Add

Switch It On With Split

More videos:

  • Review - Split Series - Away From the Keyboard With Matt Winchester, Software Engineering Manager
  • Review - Split Series - Away From The Keyboard with Geoff Rayback, Software Engineer

Category Popularity

0-100% (relative to Apache Calcite and Split.io)

Apache Calcite

Split.io

Databases
100 100%
Databases
0% 0
Feature Flags
0 0%
Feature Flags
100% 100
Relational Databases
100 100%
Relational Databases
0% 0
Developer Tools
0 0%
Developer Tools
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 Apache Calcite and Split.io

Apache Calcite Reviews

We have no reviews of Apache Calcite yet.
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Split.io Reviews

Top Mobile Feature Flag Tools
Split is yet another powerful feature flag management tool serving customers like EA, Salesforce, and Crunchbase. It might not be suited for cross-channel experiments, but offers highly granular control over your releases, their targeting, and team permissions. Additionally, Split provides a powerful analytics engine that can automatically determine the significance of test...
Source: instabug.com

Social recommendations and mentions

Split.io might be a bit more popular than Apache Calcite. We know about 12 links to it since March 2021 and only 12 links to Apache Calcite. 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.

Apache Calcite mentions (12)

  • Data diffs: Algorithms for explaining what changed in a dataset (2022)
    > Make diff work on more than just SQLite. Another way of doing this that I've been wanting to do for a while is to implement the DIFF operator in Apache Calcite[0]. Using Calcite, DIFF could be implemented as rewrite rules to generate the appropriate SQL to be directly executed against the database or the DIFF operator can be implemented outside of the database (which the original paper shows is more efficient).... - Source: Hacker News / about 3 years ago
  • How to manipulate SQL string programmatically?
    Use a SQL Parser like sqlglot or Apache Calcite to compile user's query into an AST. Source: over 3 years ago
  • Parsing SQL
    One parser I think deserves a mention is the one from Apache Calcite[0]. Calcite does more than parsing, there are a number of users who pick up Calcite just for the parser. While the default parser attempts to adhere strictly to the SQL standard, of interest is also the Babel parser, which aims to be as permissive as possible in accepting different dialects of SQL. Disclaimer: I am on the PMC of Apache Calcite,... - Source: Hacker News / about 4 years ago
  • Semantic Diff for SQL
    Apache Calcite can do this, though it's not a beginner-friendly task: https://calcite.apache.org/. - Source: Hacker News / about 4 years ago
  • OctoSQL allows you to join data from different sources using SQL
    You should look at Apache Calcite[0]. Like OctoSQL, you can join data from different data sources. It's also relatively easy to add your own data sources ("adapters" in Calcite lingo) and rules to efficiently query those sources. Calcite already has adapters that do things like read from HTML tables over HTTP, files on your file system, running processes, etc. This is in addition to connecting to a bunch of... - Source: Hacker News / about 4 years ago
View more

Split.io mentions (12)

  • Mysa app crashing when trying to open the schedule for a thermostat
    I added split.io to my Pi-Holes while list but it still crashes. Source: almost 4 years ago
  • Mysa app crashing when trying to open the schedule for a thermostat
    If possible can you please ensure that split.io is being allowed through your adblocker? Source: almost 4 years ago
  • Any simple/conservative lists that just block ads, not trackers that might break mobile apps and web sites?
    Split.io, segment.io, app-measurement.com, ... These domains do not really serve ads, they are used for analytics which one can argue is a privacy issue. But some Android apps just refuse to start if you block some of these domains. Source: about 4 years ago
  • Dev is painfully slow
    People here must not be using Animation libraries, or A/B testing libraries (ala split.io) etc.. These bring in hundreds of modules alone.... terrible, but I'm thinking many of those posting aren't really building for serious enterprise production type websites. Source: about 4 years ago
  • What words do you like to put on your buttons?
    I looked up split.io and their website is worse. I see some technical jargon that I recognize, but the rest is gibberish. Makes me think there is room for providing better content in the space. Source: about 4 years ago
View more

What are some alternatives?

When comparing Apache Calcite and Split.io, you can also consider the following products

Apache Drill - Schema-Free SQL Query Engine for Hadoop and NoSQL

LaunchDarkly - LaunchDarkly is a powerful development tool which allows software developers to roll out updates and new features.

Microsoft SQL - Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.

ConfigCat - ConfigCat is a developer-centric feature flag service with unlimited team size, awesome support, and a reasonable price tag.

MySQL - The world's most popular open source database

Flagsmith - Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source.

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