Alternatives to PartiQL
Compare PartiQL alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to PartiQL in 2026. Compare features, ratings, user reviews, pricing, and more from PartiQL competitors and alternatives in order to make an informed decision for your business.
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1
Teradata VantageCloud
Teradata
Teradata VantageCloud: The complete cloud analytics and data platform for AI. Teradata VantageCloud is an enterprise-grade, cloud-native data and analytics platform that unifies data management, advanced analytics, and AI/ML capabilities in a single environment. Designed for scalability and flexibility, VantageCloud supports multi-cloud and hybrid deployments, enabling organizations to manage structured and semi-structured data across AWS, Azure, Google Cloud, and on-premises systems. It offers full ANSI SQL support, integrates with open-source tools like Python and R, and provides built-in governance for secure, trusted AI. VantageCloud empowers users to run complex queries, build data pipelines, and operationalize machine learning models—all while maintaining interoperability with modern data ecosystems. -
2
GraphDB
Ontotext
*GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs.* GraphDB is a highly efficient and robust graph database with RDF and SPARQL support. The GraphDB database supports a highly available replication cluster, which has been proven in a number of enterprise use cases that required resilience in data loading and query answering. If you need a quick overview of GraphDB or a download link to its latest releases, please visit the GraphDB product section. GraphDB uses RDF4J as a library, utilizing its APIs for storage and querying, as well as the support for a wide variety of query languages (e.g., SPARQL and SeRQL) and RDF syntaxes (e.g., RDF/XML, N3, Turtle). -
3
Mongoose
Mongoose
Let's face it, writing MongoDB validation, casting and business logic boilerplate is a drag. That's why we wrote Mongoose. Now say we like fuzzy kittens and want to record every kitten we ever meet in MongoDB. The first thing we need to do is include mongoose in our project and open a connection to the test database on our locally running instance of MongoDB. We have a pending connection to the test database running on localhost. We now need to get notified if we connect successfully or if a connection error occurs. Mongoose documents represent a one-to-one mapping to documents as stored in MongoDB. Each document is an instance of its Model. Subdocuments are documents embedded in other documents. In Mongoose, this means you can nest schemas in other schemas. Mongoose has two distinct notions of subdocuments: arrays of subdocuments and single nested subdocuments. -
4
StreamScape
StreamScape
Make use of Reactive Programming on the back-end without the need for specialized languages or cumbersome frameworks. Triggers, Actors and Event Collections make it easy to build data pipelines and work with data streams using simple SQL-like syntax, shielding users from the complexities of distributed system development. Extensible Data Modeling is a key feature that supports rich semantics and schema definition for representing real-world things. On-the-fly validation and data shaping rules support a variey of formats like XML and JSON, allowing you to easily describe and evolve your schema, keeping pace with changing business requirements. If you can describe it, we can query it. Know SQL and Javascript? Then you already know how to use the data engine. Whatever the format, a powerful query language lets you instantly test logic expressions and functions, speeding up development and simplifying deployment for unmatched data agility. -
5
JackDB
JackDB
Write and execute queries in a fully interactive SQL editor. JackDB has everything you'd want in a database client, including: syntax highlighting, code formatting, and intelligent autocompletion. Snippets allow your most useful SQL queries to be saved and shared. Simply write and save any query in JackDB, and share the snippet publicly with your team. Whenever anyone updates a snippet, everyone gets access to its latest version. Security is our highest priority at JackDB. Roles are a very convenient and secure way to restrict database access to authorized users and provision new users with access to data sources. Explore everything in your database, not just tables and views. View your indexes, schemas, and other important system details such as tablespaces and user sessions.Starting Price: $49 per user per month -
6
InventDB
InventDB
InventDB is an encrypted JSON database that combines schema-free data storage with SQL querying capabilities, enabling developers to work with flexible data structures while retaining the power of relational querying. It is designed to support full ACID transactions, ensuring consistency, reliability, and durability of data operations even in complex or concurrent environments. It incorporates row-level encryption, allowing sensitive data to be protected at a granular level rather than relying solely on database-wide security, which enhances data privacy and control. In addition to its core database functionality, InventDB includes a built-in key-value cache to improve performance and speed up data access for frequently used information. It also integrates semantic capabilities, enabling more intelligent data retrieval and interactions beyond traditional query methods.Starting Price: $18 per month -
7
ArangoDB
ArangoDB
Natively store data for graph, document and search needs. Utilize feature-rich access with one query language. Map data natively to the database and access it with the best patterns for the job – traversals, joins, search, ranking, geospatial, aggregations – you name it. Polyglot persistence without the costs. Easily design, scale and adapt your architectures to changing needs and with much less effort. Combine the flexibility of JSON with semantic search and graph technology for next generation feature extraction even for large datasets. -
8
Apache DataFusion
Apache Software Foundation
Apache DataFusion is an extensible, high-performance query engine written in Rust that utilizes Apache Arrow as its in-memory format. Designed for developers building data-centric systems such as databases, data frames, machine learning, and streaming applications, DataFusion offers SQL and DataFrame APIs, a vectorized, multi-threaded, streaming execution engine, and support for partitioned data sources. It natively supports formats like CSV, Parquet, JSON, and Avro, and allows for seamless integration with object stores including AWS S3, Azure Blob Storage, and Google Cloud Storage. The engine features a comprehensive query planner, a state-of-the-art optimizer with capabilities like expression coercion and simplification, projection and filter pushdown, sort and distribution-aware optimizations, and automatic join reordering. DataFusion is highly customizable, enabling the addition of user-defined scalar, aggregate, and window functions, custom data sources, query languages, etc.Starting Price: Free -
9
DBeaver Community
DBeaver Corp.
DBeaver Community is a free, open-source database management tool recommended for personal projects. Manage and explore SQL databases like MySQL, MariaDB, PostgreSQL, SQLite, Apache Family, and more. Connect to popular SQL databases (PostgreSQL, MySQL, SQL Server, Oracle, SQLite, etc.) SQL editor to create queries with syntax highlighting and autocompletion AI assistant in SQL for building queries through natural language SSL/TLS support for encrypted connections SSH tunneling for secure remote access Proxy configuration to work with databases behind a corporate firewall Session Manager to terminate, disconnect, view and search for sessions Lock Manager to monitor and manage database locks Entity Relationship Diagrams to interactively explore and visualize database structure Query manager to view all executed queries, including execution time, duration, affected rows, and errors. Data editor to view, edit, and filter dataStarting Price: $11/month -
10
Greenplum
Greenplum Database
Greenplum Database® is an advanced, fully featured, open source data warehouse. It provides powerful and rapid analytics on petabyte scale data volumes. Uniquely geared toward big data analytics, Greenplum Database is powered by the world’s most advanced cost-based query optimizer delivering high analytical query performance on large data volumes. Greenplum Database® project is released under the Apache 2 license. We want to thank all our current community contributors and are interested in all new potential contributions. For the Greenplum Database community no contribution is too small, we encourage all types of contributions. An open-source massively parallel data platform for analytics, machine learning and AI. Rapidly create and deploy models for complex applications in cybersecurity, predictive maintenance, risk management, fraud detection, and many other areas. Experience the fully featured, integrated, open source analytics platform. -
11
Dremio
Dremio
Dremio delivers lightning-fast queries and a self-service semantic layer directly on your data lake storage. No moving data to proprietary data warehouses, no cubes, no aggregation tables or extracts. Just flexibility and control for data architects, and self-service for data consumers. Dremio technologies like Data Reflections, Columnar Cloud Cache (C3) and Predictive Pipelining work alongside Apache Arrow to make queries on your data lake storage very, very fast. An abstraction layer enables IT to apply security and business meaning, while enabling analysts and data scientists to explore data and derive new virtual datasets. Dremio’s semantic layer is an integrated, searchable catalog that indexes all of your metadata, so business users can easily make sense of your data. Virtual datasets and spaces make up the semantic layer, and are all indexed and searchable. -
12
Raijin
RAIJINDB
In order to deal with sparse data, the Raijin Database uses a flat JSON representation for the data records. The Raijin Database supports SQL as its primary query language while lifting some of SQL's limitations. Data compression not only saves disk space but provides a performance boost with modern CPUs. Most NoSQL solutions are inefficient at or totally lack support for analytical queries. Raijin DB supports group by and aggregations using standard SQL syntax. Vectorized execution and cache-friendly algorithms allow large amounts of data to be operated on. Backed by optimized SIMD instructions (SSE2/AVX2) and a modern compressed hybrid columnar storage layer it ensures that your CPUs are not wasting cycles. This gives unparalleled data-crunching capabilities an order of magnitude faster compared to other solutions written in higher level or even interpreted languages which are inefficient at processing large amounts of data. -
13
Database Tour Pro
Vitaliy Levchenko Software
Here are some areas where Database Tour has competitive advantages among database tools in the marketplace. Preparing database queries in SQL editors with syntax highlighting, code completion, and Ctrl+clickable objects. Multiple windows with separate transactions. There is a possibility to execute multi-statement SQL scripts. Collecting SQL execution statistics for each query window. Performing useful operations with databases, such as searching and replacing text, batch data processing etc. Database Tour data grids give you the ability to view CLOB/MEMO (large text) and graphic data, expand rows, use autoscrolling, sorting, selecting group of records, copying data etc. Data in tables can be highlighted depending on its content (so called conditional formatting). There is a tool for working with BLOB fields, such as large text and graphics. -
14
SlashDB
SlashDB
SlashDB automatically generates a REST API from relational databases for reading and writing in convenient formats like XML, JSON and CSV. Additionally, using HTML it allows for simply browsing through data so users can discover available databases, tables, queries and API endpoints. SlashDB is capable of providing a central access point to multiple databases, effectively forming an all-encompassing resource-oriented architecture (ROA), serving as an API gateway to the data for users that need access. SlashDB provides a web service shell for each of your database(s) by translating relational database structures into a logical library of uniform resource locators (URL). Conforming to REST methodology, every piece of data has its own unique identifying URL regardless of whether it is a simple scalar value or a nested structure of related records.Starting Price: $200 per database per month -
15
Oracle AI Vector Search
Oracle
Oracle AI Vector Search is a capability within Oracle Database designed for AI workloads that enables querying data based on semantics or meaning rather than traditional keyword matching. It allows organizations to search both structured and unstructured data using similarity search, making it possible to retrieve results based on contextual relevance instead of exact values. It uses vector embeddings to represent data such as text, images, or documents, and applies specialized vector indexes and distance functions to efficiently identify similar items. It introduces a native VECTOR data type, along with SQL operators and syntax that allow developers to combine semantic search with relational queries on business data in a single database environment. This eliminates the need for separate vector databases and reduces data fragmentation by keeping AI and operational data unified. -
16
Tabular
Tabular
Tabular is an open table store from the creators of Apache Iceberg. Connect multiple computing engines and frameworks. Decrease query time and storage costs by up to 50%. Centralize enforcement of data access (RBAC) policies. Connect any query engine or framework, including Athena, BigQuery, Redshift, Snowflake, Databricks, Trino, Spark, and Python. Smart compaction, clustering, and other automated data services reduce storage costs and query times by up to 50%. Unify data access at the database or table. RBAC controls are simple to manage, consistently enforced, and easy to audit. Centralize your security down to the table. Tabular is easy to use plus it features high-powered ingestion, performance, and RBAC under the hood. Tabular gives you the flexibility to work with multiple “best of breed” compute engines based on their strengths. Assign privileges at the data warehouse database, table, or column level.Starting Price: $100 per month -
17
Semantic UI React
Vercel
Semantic UI React is the official React integration for Semantic UI. jQuery-free, declarative API, augmentation, shorthand props, sub-components, auto controlled state. jQuery is a DOM manipulation library. It reads from and writes to the DOM. React uses a virtual DOM (a JavaScript representation of the real DOM). React only writes patch updates to the DOM, but never reads from it. It is not feasible to keep real DOM manipulations in sync with React's virtual DOM. Because of this, all jQuery functionality has been re-implemented in React. Control the rendered HTML tag, or render one component as another component. Extra props are passed to the component you are rendering as. Augmentation is powerful. You can compose component features and props without adding extra nested components. Shorthand props generate markup for you, making many use cases a breeze. All object props are spread on the child components.Starting Price: Free -
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SQLPilot
SQLPilot
Write your prompt in natural language, mention the tables required, and generate a query with the AI model of your choice. Add as many connections as you want. Supports autocomplete for SQL queries to speed up your workflow. We do not store your schemas, queries, or credentials. We only use the data you provide to us to generate SQL queries. Download your results in CSV format. View your results in graphs and charts. Experience the power of AI-powered SQL queries with our free plan. Quickly generate your complex SQL queries with the help of AI. SQLPilot is your AI-first SQL query tool to generate queries with all the context you need.Starting Price: $20 per month -
19
RazorSQL
RazorSQL
RazorSQL is an SQL query tool, database browser, SQL editor, and database administration tool for Windows, macOS, Mac OS X, Linux, and Solaris. RazorSQL has been tested on over 40 databases, can connect to databases via either JDBC or ODBC. Browse database objects such as schemas, tables, columns, primary and foreign keys, views, indexes, procedures, functions, and more. Visual tools to create, alter, describe, execute, and drop database objects such as tables, views, indexes, stored procedures, functions, triggers, and more. Includes multi-tabular display of queries with options for filtering, sorting, searching, and much more. Import data from various formats such as delimited files, Excel spreadsheets, and fixed-width files. Includes a robust relational database (HSQLDB) that is up and running with no manual configuration out of the box.Starting Price: $99.95 one-time payment -
20
HStreamDB
EMQ
A streaming database is purpose-built to ingest, store, process, and analyze massive data streams. It is a modern data infrastructure that unifies messaging, stream processing, and storage to help get value out of your data in real-time. Ingest massive amounts of data continuously generated from various sources, such as IoT device sensors. Store millions of data streams reliably in a specially designed distributed streaming data storage cluster. Consume data streams in real-time as fast as from Kafka by subscribing to topics in HStreamDB. With the permanent data stream storage, you can playback and consume data streams anytime. Process data streams based on event-time with the same familiar SQL syntax you use to query data in a relational database. You can use SQL to filter, transform, aggregate, and even join multiple data streams.Starting Price: Free -
21
Apache Impala
Apache
Impala provides low latency and high concurrency for BI/analytic queries on the Hadoop ecosystem, including Iceberg, open data formats, and most cloud storage options. Impala also scales linearly, even in multitenant environments. Impala is integrated with native Hadoop security and Kerberos for authentication, and via the Ranger module, you can ensure that the right users and applications are authorized for the right data. Utilize the same file and data formats and metadata, security, and resource management frameworks as your Hadoop deployment, with no redundant infrastructure or data conversion/duplication. For Apache Hive users, Impala utilizes the same metadata and ODBC driver. Like Hive, Impala supports SQL, so you don't have to worry about reinventing the implementation wheel. With Impala, more users, whether using SQL queries or BI applications, can interact with more data through a single repository and metadata stored from source through analysis.Starting Price: Free -
22
Go REST
Go REST
Go REST is a GraphQL and RESTful API platform for testing and prototyping that delivers fake data with real responses, available 24/7 via public endpoints for users, posts, comments, and todos. It supports multiple API versions with full search on all fields, pagination (page and per_page), rate-limiting headers, and response format negotiation. Standard HTTP verbs are supported, and mutating requests require an access token via HTTP Bearer or query parameter. Nested resources let you retrieve related data, user posts, post comments, and user todos, while request and response logging, customizable rate limit,s and daily data resets ensure a clean testing environment. A GraphQL endpoint at /public/v2/graphql offers schema-driven queries and mutations. -
23
Amazon Athena
Amazon
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. Athena is easy to use. Simply point to your data in Amazon S3, define the schema, and start querying using standard SQL. Most results are delivered within seconds. With Athena, there’s no need for complex ETL jobs to prepare your data for analysis. This makes it easy for anyone with SQL skills to quickly analyze large-scale datasets. Athena is out-of-the-box integrated with AWS Glue Data Catalog, allowing you to create a unified metadata repository across various services, crawl data sources to discover schemas and populate your Catalog with new and modified table and partition definitions, and maintain schema versioning. -
24
Lua
Lua Language
Lua is a powerful, efficient, lightweight, embeddable scripting language. It supports procedural programming, object-oriented programming, functional programming, data-driven programming, and data description. Lua combines simple procedural syntax with powerful data description constructs based on associative arrays and extensible semantics. Lua is dynamically typed, runs by interpreting bytecode with a register-based virtual machine, and has automatic memory management with incremental garbage collection, making it ideal for configuration, scripting, and rapid prototyping. Lua has a deserved reputation for performance. To claim to be "as fast as Lua" is an aspiration of other scripting languages. Several benchmarks show Lua as the fastest language in the realm of interpreted scripting languages. Lua is fast not only in fine-tuned benchmark programs, but in real life too. Substantial fractions of large applications have been written in Lua.Starting Price: Free -
25
Apache TinkerPop
Apache Software Foundation
Apache TinkerPop™ is a graph computing framework for both graph databases (OLTP) and graph analytic systems (OLAP). Gremlin is the graph traversal language of Apache TinkerPop. Gremlin is a functional, data-flow language that enables users to succinctly express complex traversals on (or queries of) their application's property graph. Every Gremlin traversal is composed of a sequence of (potentially nested) steps. A graph is a structure composed of vertices and edges. Both vertices and edges can have an arbitrary number of key/value pairs called properties. Vertices denote discrete objects such as a person, a place, or an event. Edges denote relationships between vertices. For instance, a person may know another person, have been involved in an event, and/or have recently been at a particular place. If a user's domain is composed of a heterogeneous set of objects (vertices) that can be related to one another in a multitude of ways (edges).Starting Price: Free -
26
LDAP Admin Tool
LDAPSoft
The Professional Edition of LDAP Admin Tool contains more features like predefined customizable searches for both LDAP (common ldap objects one click searches) & Active Directory (over 200 common one click searches). This is the edition of LDAP Admin Tool you’ll want to use if you use your machine mainly in a professional setting. For example, most business users and administrators will need this edition to quickly search directory tree using one click searches and schedule export tasks. While assigning members to groups it is often necessary to know nested assignments. With our software's you can view the updated nested members of groups while assigning members to groups. SQLLDAP is easy sql like syntax to query and update LDAP. With our software's you are now able to build and edit query visually with a drag and drop function using keywords and attributes.Starting Price: $95 per year -
27
EraDB
Era Software
EraDB is a database architecture built on the core principles of decoupled storage and compute, true zero-schema data storage, and flexible indexing powered by machine learning, all of which allow you to significantly reduce the size, cost, and complexity of your data while still giving you lightning-fast queries across vast datasets. We automatically index on every dimension, so you never have to decide today what you want to query tomorrow EraDB is schemaless by design, so we can store your data regardless of whether it’s consistently-structured. Built for flexibility, EraDB supports pluggable front- and back-end systems. Technologically-limited storage engines cannot efficiently handle complex data, so they crash or slow to a crawl. -
28
Gato GraphQL
Gato GraphQL
Gato GraphQL is a powerful and flexible GraphQL server for WordPress, enabling users to access and manipulate any piece of data, such as posts, users, comments, tags, and categories, via a GraphQL API. It supports building dynamic, headless sites by using WordPress as the CMS to manage data while allowing the use of any framework for rendering. It offers multiple interactive clients, including GraphiQL and Voyager, providing user-friendly interfaces for composing queries and visualizing the schema. Security features include granular access control based on user roles or IP addresses, HTTP caching for performance optimization, and the ability to create public, private, and password-protected endpoints. Gato GraphQL also supports nested mutations, custom endpoints, persisted queries, and field deprecation via the UI. Additionally, it integrates with popular WordPress plugins and external services, extending the GraphQL schema's capabilities. Starting Price: $249 one-time payment -
29
Hydra
Hydra
Hydra is an open source, column-oriented Postgres. Query billions of rows instantly, no code changes. Hydra parallelizes and vectorizes aggregates (COUNT, SUM, AVG) to deliver the speed you’ve always wanted on Postgres. Boost performance at every size! Set up Hydra in 5 minutes without changing your syntax, tools, data model, or extensions. Use Hydra Cloud for fully managed operations and smooth sailing. Different industries have different needs. Get better analytics with powerful Postgres extensions, custom functions, and take control. Built by you, for you. Hydra is the fastest Postgres in the market for analytics. Boost performance with columnar storage, vectorization, and query parallelization. -
30
PeeringDB
PeeringDB
PeeringDB is a freely available, user-maintained database of networks, serving as the go-to location for interconnection data. It facilitates the global interconnection of networks at Internet Exchange Points (IXPs), data centers, and other interconnection facilities, acting as the first stop in making interconnection decisions. It is a non-profit, community-driven initiative run and promoted by volunteers, aiming to support the continued development of the Internet. Users can search and update the PeeringDB database using the web interface or an API, allowing integration into proprietary tools. PeeringDB publishes peeringdb-py as a reference implementation of a local cache of PeeringDB data, encouraging users to utilize this or an equivalent to avoid API query limits. PeeringDB also offers a .KMZ formatted dataset of interconnection facilities for which it has coordinates.Starting Price: Free -
31
ksqlDB
Confluent
Now that your data is in motion, it’s time to make sense of it. Stream processing enables you to derive instant insights from your data streams, but setting up the infrastructure to support it can be complex. That’s why Confluent developed ksqlDB, the database purpose-built for stream processing applications. Make your data immediately actionable by continuously processing streams of data generated throughout your business. ksqlDB’s intuitive syntax lets you quickly access and augment data in Kafka, enabling development teams to seamlessly create real-time innovative customer experiences and fulfill data-driven operational needs. ksqlDB offers a single solution for collecting streams of data, enriching them, and serving queries on new derived streams and tables. That means less infrastructure to deploy, maintain, scale, and secure. With less moving parts in your data architecture, you can focus on what really matters -- innovation. -
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Kwil
Kwil
Kwil is the first decentralized, community-owned SQL database solution for building advanced dApps and protocols. Kwil enables advanced dApp development in a vastly shorter time by providing a highly scalable SQL database that feels native to Web2 developers. In order to build on a decentralized architecture, developers are currently required to manage highly complex and extremely unscalable blockchain-based data management solutions. KwilDB simplifies the decentralized development process while simultaneously providing an extremely cheap and scalable solution for storing and querying large amounts of data. By facilitating highly scalable decentralized data storage and querying, KwilDB enables dApps to seamlessly plug into data from other applications. Building on KwilDB means radically faster development times, the ability to quickly execute highly complex queries across massive data sets, and ease of access to data from other applications, enabling extreme composability. -
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Imply
Imply
Imply is a real-time analytics platform built on Apache Druid, designed to handle large-scale, high-performance OLAP (Online Analytical Processing) workloads. It offers real-time data ingestion, fast query performance, and the ability to perform complex analytical queries on massive datasets with low latency. Imply is tailored for organizations that need interactive analytics, real-time dashboards, and data-driven decision-making at scale. It provides a user-friendly interface for data exploration, along with advanced features such as multi-tenancy, fine-grained access controls, and operational insights. With its distributed architecture and scalability, Imply is well-suited for use cases in streaming data analytics, business intelligence, and real-time monitoring across industries. -
34
MySQL Workbench
Oracle
MySQL Workbench is a unified visual tool for database architects, developers, and DBAs. MySQL Workbench provides data modeling, SQL development, and comprehensive administration tools for server configuration, user administration, backup, and much more. MySQL Workbench is available on Windows, Linux and Mac OS X. MySQL Workbench enables a DBA, developer, or data architect to visually design, model, generate, and manage databases. It includes everything a data modeler needs for creating complex ER models, forward and reverse engineering, and also delivers key features for performing difficult change management and documentation tasks that normally require much time and effort. MySQL Workbench delivers visual tools for creating, executing, and optimizing SQL queries. The SQL Editor provides color syntax highlighting, auto-complete, reuse of SQL snippets, and execution history of SQL. The Database Connections Panel enables developers to easily manage standard database connections. -
35
Gensim
Radim Řehůřek
Gensim is a free, open source Python library designed for unsupervised topic modeling and natural language processing, focusing on large-scale semantic modeling. It enables the training of models like Word2Vec, FastText, Latent Semantic Analysis (LSA), and Latent Dirichlet Allocation (LDA), facilitating the representation of documents as semantic vectors and the discovery of semantically related documents. Gensim is optimized for performance with highly efficient implementations in Python and Cython, allowing it to process arbitrarily large corpora using data streaming and incremental algorithms without loading the entire dataset into RAM. It is platform-independent, running on Linux, Windows, and macOS, and is licensed under the GNU LGPL, promoting both personal and commercial use. The library is widely adopted, with thousands of companies utilizing it daily, over 2,600 academic citations, and more than 1 million downloads per week.Starting Price: Free -
36
Semantic UI
Semantic
Semantic UI treats words and classes as exchangeable concepts. Classes use syntax from natural languages like noun/modifier relationships, word order, and plurality to link concepts intuitively. Semantic uses simple phrases called behaviors that trigger functionality. Any arbitrary decision in a component is included as a setting that developers can modify. Performance logging lets you track down bottlenecks without digging through stack traces. Semantic comes equipped with an intuitive inheritance system and high level theming variables that let you have complete design freedom. Definitions aren't limited to just buttons on a page. Semantic's components allow several distinct types of definitions: elements, collections, views, modules and behaviors which cover the gamut of interface design. -
37
Oracle Big Data SQL Cloud Service enables organizations to immediately analyze data across Apache Hadoop, NoSQL and Oracle Database leveraging their existing SQL skills, security policies and applications with extreme performance. From simplifying data science efforts to unlocking data lakes, Big Data SQL makes the benefits of Big Data available to the largest group of end users possible. Big Data SQL gives users a single location to catalog and secure data in Hadoop and NoSQL systems, Oracle Database. Seamless metadata integration and queries which join data from Oracle Database with data from Hadoop and NoSQL databases. Utilities and conversion routines support automatic mappings from metadata stored in HCatalog (or the Hive Metastore) to Oracle Tables. Enhanced access parameters give administrators the flexibility to control column mapping and data access behavior. Multiple cluster support enables one Oracle Database to query multiple Hadoop clusters and/or NoSQL systems.
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38
DbSchema
Wise Coders
DbSchema is for visual designing the schema in a team, deploy and document the schema. Other integrated features like data explorer, visual query editor, data generator, etc., makes DbSchema an every-day tool for everybody who interacts with databases. DbSchema supports all relational and No-SQL databases, including MySQL, PostgreSQL, SQLite, Microsoft SQL Server, MongoDB, MariaDB, Redshift, Snowflake, Google and more. DbSchema is reverse-engineering the database schema from the database and visualize it as diagrams. You will interact with the database using diagrams and visual tools. DbSchema model is using its copy of schema structure, independent from the database. This allows the schema deployment on multiple databases, save the design model to file, store it in GIT and design the schema in a team, design the schema without database connectivity, compare different versions of the schema and generate SQL migration scripts.Starting Price: $63 one time payment -
39
Ariga
Ariga
Define the desired schema of your database in a familiar and declarative syntax. Our open-source engine automatically generates migration plans that are verified during your team’s existing CI pipeline and safely deployed to production. Our platform rigorously simulates and analyzes each proposed change during your team’s existing CI flow to ensure no one accidentally breaks the database. Catch destructive changes, backward-incompatibility issues, accidental table locks and constraint violations way before they reach production. Deploy database schema changes as part of your continuous delivery pipelines with our Terraform or Helm integrations. Using our platform, you can safely execute changes that cannot be completely verified during CI, as they depend on the data in the target database. -
40
dbForge Studio for PostgreSQL is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to your requirements in a convenient and user-friendly interface. The tool provides a data editing tool to customize your queries and property window so that users can view all the required information of PostgreSQL database objects they are interested in. Key features: * AI Assistant Integration. * SQL Development. Save your time and improve code quality when creating and editing queries. * Explorer. Navigate through the object tree and find any PostgreSQL object you want. * Data Editor. Users can manage the settings of tables. * Data Export and Data Import. Supports 10+ widely used data formats, a number of advanced options, and templates for recurring scenarios. * Query Profiler. * Data and Schema Compare. * Data Generator. * Pivot Table.Starting Price: $89.95
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41
YDB
YDB
Entrust YDB with keeping your application state regardless of how large or frequently modified it is. Handling petabytes of data and millions of transactions per second is not an issue. Build analytical reports based on data you store in YDB with performance comparable to database management systems purpose-built for this use case. No compromises on consistency and availability are necessary. Use the YDB topics feature to reliably send data between your applications or consume change data capture feed from regular tables. Exactly-once and at-least-once semantics are available to choose from. YDB is designed to work in three availability zones, ensuring availability even if the whole availability zone goes offline. It recovers automatically after a disk, server, or data center failure with minimum latency disruptions for applications.Starting Price: Free -
42
dbKoda
dbKoda
dbKoda’s rich code editor allows you to compose MongoDB queries and scripts with syntax highlighting, auto-complete and code formatting. View output in foldable JSON, tabular format or as a chart. Generate visual explain plans with a single click. The explain plan viewer will suggest indexes that may improve performance, and provide one-button creation of those indexes. Build simple queries or complex aggregates using the graphical query builder. dbKoda lets you perform administrative activities using fil-in-the-blanks actions from the database tree. Manage configuration, user roles, logging, database storage, and data import/export without having to lookup obscure MongoDB syntax. We construct the appropriate commands as you fill-in-the-blanks, so you can re-use the command in admin scripts or tweak the syntax as desired. dbKoda includes an SSH terminal that allows command line access to the server OS, so you can issue OS commands directly from within the dbKoda product.Starting Price: Free -
43
NestAds
NestScale
NestAds, built exclusively for Shopify merchants, is an efficient ad management and marketing attribution software. Streamlining data from various ad channels into one dashboard, NestAds eliminates manual work, allowing effortless tracking of crucial ad metrics for insightful ad performance analysis. The unique feature is the server-side tracking pixel based on first-party customer purchase data, overcoming iOS 14 limitations and cookieless browsing challenges. NestAds also employs a multi-touch attribution model to pinpoint sales-driving ads and touchpoints, offering flexibility with attribution windows from 1 to 90 days. This data-driven approach optimizes ad spend, reducing waste and maximizing your ROAS. NestAds dashboard presents customer journey data in a timeline format, facilitating a clear understanding of your customer engagement across touchpoints, complete with detailed cohort analysis for insights into revenue generation and customer acquisition cost recovery.Starting Price: $0/month/user -
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dbForge Studio for SQL Server is a comprehensive platform with an intuitive graphical user interface and robust functionality that enables users to handle a variety of database-related tasks both on-premises and in the cloud. Key Features: SQL Coding Assistance AI Assistant Integration Source Control Index Manager Unit Test Table Designer Database Designer T-SQL Debugger Query Profiler Schema Compare Data Compare Data Generator Documenter Query Builder Data Export and Data Import Database Administration Server Event Profiler Data Editor SQL Server Reporting Master-Detail Browser Pivot Table Copy Database Monitor Find Invalid Objects DevOps Automation Optimized system resources consumption when preparing the Quick Info and Code Completion hints Support for macOS & Linux via CrossOver You can always find the latest version of the product on the official Devart website.Starting Price: $229.95
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ParadeDB
ParadeDB
ParadeDB brings column-oriented storage and vectorized query execution to Postgres tables. Users can choose between row and column-oriented storage at table creation time. Column-oriented tables are stored as Parquet files and are managed by Delta Lake. Search by keyword with BM25 scoring, configurable tokenizers, and multi-language support. Search by semantic meaning with support for sparse and dense vectors. Surface results with higher accuracy by combining the strengths of full text and similarity search. ParadeDB is ACID-compliant with concurrency controls across all transactions. ParadeDB integrates with the Postgres ecosystem, including clients, extensions, and libraries. -
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Valentina Studio
Paradigma Software
Create, administer, query and explore Valentina DB, MySQL, MariaDB, PostgreSQL and SQLite databases for FREE. Design business reports running in Valentina Studio Pro, on Valentina Server or in an application with an Application Developer Kit. Backward Engineering in Standard with forwarding Engineering in Valentina Studio Pro. Reverse engineering and create diagrams for existing databases. Add new objects to diagrams. Write SQL queries with auto-completion, color syntax. Define, manage, save favorite queries; access recent queries. Function browser dictionary of each function. Consoles for errors, warnings, and performance. Search, Export result records into CSV, JSON, Excel. Edit properties of multiple objects at the same time. Drill down to tables and fields; incredible fast searching. Reverse engineering and create diagrams for existing databases. Add new objects to diagrams. Add/drop users, and groups, and manage privileges.Starting Price: $79 -
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QuerySurge
RTTS
QuerySurge is the enterprise-grade data quality platform that continuously automates the validation of data across your entire ecosystem ‐ from data warehouses and big data lakes to BI reports and enterprise applications. With AI-powered test creation, a scalable architecture, and seamless CI/CD integration, QuerySurge consistently ensures data integrity at every stage of the pipeline: accelerating delivery, reducing risk, and enabling confident decision-making. Use Cases - Data Warehouse & ETL Testing - Big Data Testing - DevOps for Data / DataOps / Continuous Testing - Data Migration Testing - BI Report Testing - Enterprise App/ERP Testing QuerySurge Features - Data Validation: enterprise-grade platform - AI: Automatically create data validation tests - BI Report Testing: Fully automated, no-code approach - DevOps for Data (DataOps): API w/60+ calls & Swagger docs, integrate continuous testing into your CI/CD pipelines - Data Connectors: For 200+ platforms -
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Oracle SQL Developer
Oracle
Oracle SQL Developer is a free, integrated development environment that simplifies the development and management of Oracle Database in both traditional and Cloud deployments. SQL Developer offers complete end-to-end development of your PL/SQL applications, a worksheet for running queries and scripts, a DBA console for managing the database, a reports interface, a complete data modeling solution, and a migration platform for moving your 3rd party databases to Oracle. Run your sql and sql scripts, manage users, create and edit objects, import data to new or existing tables, diagnose performance issues, visualize your schemas, and much more. The power of your favorite desktop tool, in your browser. Available with Oracle REST Data Services for your on-premises instances. Migrate Oracle On-Premises to Oracle Cloud. Click, browse, and managed the contents of your Oracle Database. -
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Outerbase
Outerbase
The interface for your database. View, update, and visualize your data collaboratively, without needing to be a database expert. No one team should have all that power. Queries, columns, rows, tables, and schemas without writing SQL. Edit your data in-line and collaboratively like you would a spreadsheet. Ditch the random snippets and notes with blocks of SQL queries, organize them here. Share your queries with the rest of the team so they’re not stuck recreating the wheel. The easiest way to query your data without ever writing a single line of SQL. Outerbase connects to the most popular databases. Select your schemas, tables, columns, and more quickly. Reduce context-switching and do it all in our intuitive user interface. Simple experiences for complex data like JSON, timestamps, and ENUMs. Embed variables to create powerful and flexible queries. Create stunning dashboards in a couple of clicks.Starting Price: $50 per month -
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Amazon SimpleDB
Amazon
Amazon SimpleDB is a highly available NoSQL data store that offloads the work of database administration. Developers simply store and query data items via web services requests and Amazon SimpleDB does the rest. Unbound by the strict requirements of a relational database, Amazon SimpleDB is optimized to provide high availability and flexibility, with little or no administrative burden. Behind the scenes, Amazon SimpleDB creates and manages multiple geographically distributed replicas of your data automatically to enable high availability and data durability. The service charges you only for the resources actually consumed in storing your data and serving your requests. You can change your data model on the fly, and data is automatically indexed for you. With Amazon SimpleDB, you can focus on application development without worrying about infrastructure provisioning, high availability, software maintenance, schema and index management, or performance tuning.
