Added ObjectBox to vector database comparison #536
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| { | ||
| "name": "ObjectBox", | ||
| "links": { | ||
| "docs": "https://docs.objectbox.io/", | ||
| "github": "https://github.com/objectbox", | ||
| "website": "https://objectbox.io/", | ||
| "vendor_discussion": "", | ||
| "poc_github": "", | ||
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There was a problem hiding this comment. can you add your (or relevant persons) github profile here so that we can contact you if needed? |
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| "slug": "objectbox" | ||
| }, | ||
| "oss": { | ||
| "support": "partial", | ||
| "source_url": "https://github.com/orgs/objectbox/repositories/", | ||
| "comment": "Partly open source with bindings under Apache 2.0" | ||
| }, | ||
| "license": { | ||
| "value": "Apache 2.0, MIT, proprietory", | ||
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There was a problem hiding this comment. in this field, the license is for the vector database part of your offering - is that one Apache2, MIT or proprietary? (the datasync part of your product, if it's separate, should not be taken into account - I assume that one is proprietary?) "proprietory" is a typo |
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| "source_url": "https://github.com/orgs/objectbox/repositories", | ||
| "comment": "" | ||
| }, | ||
| "dev_languages": { | ||
| "value": [ | ||
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There was a problem hiding this comment. this is the language (or languages) that ObjectBox is developed in (given the length of your list here, I assume that you understood this as "languages compatible with our SDK") - the eligible values can be seen here: (if the language you need isn't on the list, feel free to update vendor.schema.json as a part of this PR) |
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| "Java", | ||
| "Kotlin", | ||
| "Flutter/Dart", | ||
| "Swift", | ||
| "C", | ||
| "C++", | ||
| "Go", | ||
| "Python" | ||
| ], | ||
| "source_url": "https://docs.objectbox.io/getting-started", | ||
| "comment": "" | ||
| }, | ||
| "vector_launch_year": 2024, | ||
| "metadata_filter": { | ||
| "support": "full", | ||
| "source_url": "https://docs.objectbox.io/queries", | ||
| "comment": "Implemented via Query Builder" | ||
| }, | ||
| "hybrid_search": { | ||
| "support": "", | ||
| "source_url": "", | ||
| "comment": "" | ||
| }, | ||
| "facets": { | ||
| "support": "", | ||
| "source_url": "", | ||
| "comment": "" | ||
| }, | ||
| "geo_search": { | ||
| "support": "full", | ||
| "source_url": "https://docs.objectbox.io/on-device-vector-search", | ||
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There was a problem hiding this comment. To clarify, geo search is about geospatial queries ala https://postgis.net/ - I checked the source briefly but don't see any geospatial search functionality - can you elaborate? Btw, you can find explanations for what each column here: |
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| "comment": "" | ||
| }, | ||
| "multi_vec": { | ||
| "support": "partial", | ||
| "source_url": "https://docs.objectbox.io/on-device-vector-search", | ||
| "comment": " via Relations " | ||
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There was a problem hiding this comment. always important to link the most specific source, i.e. here it might be https://docs.objectbox.io/relations also, can you elaborate on how you get "Ability to create and index multiple vectors for a given document" via relations? |
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| }, | ||
| "full_text": { | ||
| "support": "none", | ||
| "source_url": "", | ||
| "comment": "" | ||
| }, | ||
| "embeddings_text": { | ||
| "support": "", | ||
| "source_url": "", | ||
| "comment": "" | ||
| }, | ||
| "embeddings_image": { | ||
| "support": "", | ||
| "source_url": "", | ||
| "comment": "" | ||
| }, | ||
| "embeddings_structured": { | ||
| "support": "", | ||
| "source_url": "", | ||
| "comment": "" | ||
| }, | ||
| "rag": { | ||
| "support": "none", | ||
| "source_url": "", | ||
| "comment": "" | ||
| }, | ||
| "langchain": { | ||
| "support": "full", | ||
| "source_url": "https://github.com/objectbox/langchain-objectbox", | ||
| "comment": "" | ||
| }, | ||
| "llamaindex": { | ||
| "support": "full", | ||
| "source_url": "https://docs.llamaindex.ai/en/stable/api_reference/storage/vector_store/objectbox/ ", | ||
| "comment": "" | ||
| }, | ||
| "managed_cloud": { | ||
| "support": "no", | ||
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There was a problem hiding this comment. permissible values are empty, none, partial, full see: https://github.com/superlinked/VectorHub/blob/main/docs/tools/vdb_table/vendor.schema.json#L70 |
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| "source_url": "", | ||
| "comment": "Local-first, on-device vector database for Mobile, IoT, Embedded devices and other commodity hardware - with out-of-the-box Data Sync" | ||
| }, | ||
| "pricing": { | ||
| "value": "Vector Database is free, contact for Data Sync pricing", | ||
| "source_url": "https://objectbox.io/pricing/", | ||
| "comment": "" | ||
| }, | ||
| "multi_tenancy": { | ||
| "support": "full", | ||
| "source_url": "https://docs.objectbox.io/on-device-vector-search", | ||
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There was a problem hiding this comment. can you point specifically to "the ability to store multiple isolated indexes within one database instance" (this is what multi-tenancy means) |
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| "comment": "" | ||
| }, | ||
| "disk_index": { | ||
| "support": "full", | ||
| "source_url": "https://docs.objectbox.io/on-device-vector-search", | ||
| "comment": "" | ||
| }, | ||
| "ephemeral": { | ||
| "support": "no", | ||
| "source_url": "", | ||
| "comment": "" | ||
| }, | ||
| "sharding": { | ||
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There was a problem hiding this comment. "The search index is sharded across multiple machines." - can you point to docs that explain how you do that? |
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| "support": "full", | ||
| "source_url": "https://docs.objectbox.io/on-device-vector-search", | ||
| "comment": "" | ||
| }, | ||
| "doc_size": { | ||
| "bytes": "unlimited", | ||
| "unlimited": true, | ||
| "source_url": "https://docs.objectbox.io/on-device-vector-search", | ||
| "comment": "" | ||
| }, | ||
| "vector_dims": { | ||
| "value": "unlimited", | ||
| "unlimited": true, | ||
| "source_url": "https://docs.objectbox.io/on-device-vector-search", | ||
| "comment": "" | ||
| }, | ||
| "int8_quantization": { | ||
| "support": "", | ||
| "source_url": "", | ||
| "comment": "planned" | ||
| }, | ||
| "binary_quantization": { | ||
| "support": "", | ||
| "source_url": "", | ||
| "comment": "planned" | ||
| }, | ||
| "index_types": { | ||
| "value": [ | ||
| "HNSW" | ||
| ], | ||
| "source_url": "https://docs.objectbox.io/on-device-vector-search", | ||
| "comment": "" | ||
| }, | ||
| "github_stars": { | ||
| "value": 7340, | ||
| "source_url": "https://github.com/objectbox ", | ||
| "comment": "", | ||
| "value_90_days": "" | ||
| }, | ||
| "docker_pulls": { | ||
| "value": "", | ||
| "source_url": "", | ||
| "comment": "", | ||
| "value_90_days": "" | ||
| }, | ||
| "pypi_downloads": { | ||
| "value": "", | ||
| "source_url": "", | ||
| "comment": "", | ||
| "value_90_days": "" | ||
| }, | ||
| "npm_downloads": { | ||
| "value": "", | ||
| "source_url": "", | ||
| "comment": "", | ||
| "value_90_days": "" | ||
| }, | ||
| "crates_io_downloads": { | ||
| "value": "", | ||
| "source_url": "", | ||
| "comment": "", | ||
| "value_90_days": "" | ||
| } | ||
| } | ||
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can you create a discussion thread in https://github.com/superlinked/VectorHub/discussions and link it here? (see the other vendor threads for inspiration)